{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "514fc3cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import json\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.utils import shuffle\n",
    "from tensorflow import keras\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f6c55e5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "max_cap_len = 15  # Determines max length of captioning sentences\n",
    "img_dimension = 299 # Determines the height and width of images\n",
    "num_words = 10000 # Determines vocab size to tokenize and train on\n",
    "encoding_size = 512 # Determines dimension of the encodings of images\n",
    "LSTM_size = 512 \n",
    "batch_size = 128\n",
    "n_epochs = 15\n",
    "Buffer_size = 1000\n",
    "validation_and_test_split = 0.2\n",
    "test_to_val_split = 0.5\n",
    "num_examples = None # Determines number of overall read samples. If set to none all samples will be read as long as they don't exceed max_cap_len"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "06f57710",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded 409297 samples\n",
      "Loaded 327437 train samples\n",
      "Loaded 40930 valid samples\n",
      "Loaded 40930 test samples\n"
     ]
    }
   ],
   "source": [
    "PATH = r'D:\\datasets\\COCO\\train\\train2014'\n",
    "# Read the json file\n",
    "annotation_file = r'D:\\datasets\\COCO\\annotations_trainval2014\\annotations\\captions_train2014.json'\n",
    "with open(annotation_file, 'r') as f:\n",
    "    annotations = json.load(f)\n",
    "\n",
    "# Store captions and image names in vectors\n",
    "all_captions = []\n",
    "all_img_name_vector = []\n",
    "\n",
    "for annot in annotations['annotations']:\n",
    "    caption = annot['caption']\n",
    "\n",
    "    #Removing the word 'a' from captions\n",
    "    caption = caption.replace(\" a \",\" \")\n",
    "    caption = caption.replace(\"A \",\"\")\n",
    "    #Removing the word 'an' from captions\n",
    "    caption = caption.replace(\"An \",\"\")\n",
    "    caption = caption.replace(\" an \",\" \")\n",
    "    #Removing the word 'the' from captions\n",
    "    caption = caption.replace(\" the \",\" \")\n",
    "    caption = caption.replace(\"The \",\"\")\n",
    "\n",
    "    #Load only captions that don't exceed maximum length\n",
    "    if len(caption.split(\" \")) > max_cap_len:\n",
    "      continue\n",
    "    else:\n",
    "      caption = '<sos> ' + caption + ' <eos>'\n",
    "      image_id = annot['image_id']\n",
    "      full_coco_image_path = PATH + '\\\\COCO_train2014_' + '%012d.jpg' % (image_id)\n",
    "\n",
    "      all_img_name_vector.append(full_coco_image_path)\n",
    "      all_captions.append(caption)\n",
    "\n",
    "# Shuffle captions and image_names together\n",
    "# Set a random state\n",
    "train_captions, img_name_vector = shuffle(all_captions,\n",
    "                                          all_img_name_vector,\n",
    "                                          random_state=42)\n",
    "train_captions = train_captions[:num_examples]\n",
    "img_name_vector = img_name_vector[:num_examples]\n",
    "\n",
    "caption_train, captions_test, img_name_vector_train, img_name_vector_test = train_test_split(train_captions,\n",
    "                                                                      img_name_vector,\n",
    "                                                                      test_size= validation_and_test_split)\n",
    "\n",
    "caption_val, caption_test, img_name_vector_val, img_name_vector_test = train_test_split(captions_test,\n",
    "                                                        img_name_vector_test,\n",
    "                                                        test_size= test_to_val_split)\n",
    "num_samples = len(img_name_vector)\n",
    "assert len(train_captions) == len(img_name_vector)\n",
    "print(\"Loaded %d samples\" %(num_samples))\n",
    "print(\"Loaded %d train samples\" %(len(caption_train)))\n",
    "print(\"Loaded %d valid samples\" %(len(caption_val)))\n",
    "print(\"Loaded %d test samples\" %(len(caption_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a8009869",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Examlpe: [  2  12 163  70  13  19  11 139   7  29 338   4  26   3   0   0   0]\n",
      "Found 10000 unique words\n"
     ]
    }
   ],
   "source": [
    "tok = keras.preprocessing.text.Tokenizer(num_words = num_words\n",
    "                                         ,filters =\"!?,'()_-+=&*$#@.\",oov_token=\"<unk>\")\n",
    "tok.fit_on_texts(caption_train)\n",
    "captions_train = tok.texts_to_sequences(caption_train)\n",
    "if num_words == None:\n",
    "  words = len(tok.word_index)\n",
    "else:\n",
    "  words = num_words\n",
    "captions_train = keras.preprocessing.sequence.pad_sequences(captions_train, padding='post',maxlen=max_cap_len + 2)\n",
    "print(\"Examlpe:\", captions_train[np.random.randint(low=0, high= len(captions_train) - 1,size=1)[0]])\n",
    "print(\"Found %d unique words\" %(words))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f1a1da06",
   "metadata": {},
   "outputs": [],
   "source": [
    "captions_valid = tok.texts_to_sequences(caption_val)\n",
    "captions_valid = keras.preprocessing.sequence.pad_sequences(captions_valid, padding='post',maxlen=max_cap_len + 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "041cf01c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_img(path):\n",
    "  img = tf.io.read_file(path)\n",
    "  img = tf.image.decode_jpeg(img, channels=3)\n",
    "  img = tf.image.resize(img, (img_dimension, img_dimension))\n",
    "  return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "734d0acb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_func(path_index, caption):\n",
    "  #Reading the image\n",
    "  path_index = tf.reshape(path_index, ())\n",
    "  path = tf.gather(img_name_vector_train,indices=path_index)\n",
    "  img = load_img(path)#/255.0\n",
    "  #Preprocessing text\n",
    "  teacher_caption = caption[:-1]\n",
    "  tar_caption = caption[1:]\n",
    "  \n",
    "  h_and_c_init = tf.zeros((LSTM_size))\n",
    "   \n",
    "  return (img,h_and_c_init,teacher_caption), tar_caption \n",
    "\n",
    "def preprocess_func_val(path_index, caption):\n",
    "  #Reading the image\n",
    "  path_index = tf.reshape(path_index, ())\n",
    "  path = tf.gather(img_name_vector_val,indices=path_index)\n",
    "  img = load_img(path)#/255.0\n",
    "  #Preprocessing text\n",
    "  teacher_caption = caption[:-1]\n",
    "  tar_caption = caption[1:]\n",
    "\n",
    "  h_and_c_init = tf.zeros((LSTM_size))\n",
    "  \n",
    "  return (img,h_and_c_init,teacher_caption), tar_caption "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "90efee93",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating an array to index each img path for reading \n",
    "path_index_vec_train = np.array(list(range(0,len(img_name_vector_train)))).reshape(-1,1)\n",
    "path_index_vec_val = np.array(list(range(0,len(img_name_vector_val)))).reshape(-1,1)\n",
    "\n",
    "dataset1_train = tf.data.Dataset.from_tensor_slices(path_index_vec_train)\n",
    "dataset2_train = tf.data.Dataset.from_tensor_slices(captions_train)\n",
    "dataset = tf.data.Dataset.zip((dataset1_train,dataset2_train))\n",
    "dataset = dataset.map(preprocess_func, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
    "\n",
    "dataset1_val = tf.data.Dataset.from_tensor_slices(path_index_vec_val)\n",
    "dataset2_val = tf.data.Dataset.from_tensor_slices(captions_valid)\n",
    "dataset_val = tf.data.Dataset.zip((dataset1_val,dataset2_val))\n",
    "dataset_val = dataset_val.map(preprocess_func_val, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
    "\n",
    "dataset = dataset.shuffle(Buffer_size).batch(batch_size,drop_remainder=True).prefetch(1)\n",
    "dataset_val = dataset_val.shuffle(Buffer_size).batch(256,drop_remainder=True).prefetch(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c77ec355",
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.applications.inception_v3 import preprocess_input\n",
    "\n",
    "\n",
    "incep = keras.applications.inception_v3.InceptionV3(input_shape=(img_dimension,img_dimension,3),\n",
    "                                                    include_top=False)\n",
    "incep.trainable=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "481394b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"Encoder\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "preprocessing_layer (Lambda) (None, 299, 299, 3)       0         \n",
      "_________________________________________________________________\n",
      "inception_v3 (Functional)    (None, 8, 8, 2048)        21802784  \n",
      "_________________________________________________________________\n",
      "encoding_layer (Dense)       (None, 8, 8, 512)         1049088   \n",
      "_________________________________________________________________\n",
      "reshape_layer (Reshape)      (None, 64, 512)           0         \n",
      "=================================================================\n",
      "Total params: 22,851,872\n",
      "Trainable params: 1,049,088\n",
      "Non-trainable params: 21,802,784\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "encoder = keras.models.Sequential([\n",
    "                                   keras.layers.Lambda(preprocess_input,input_shape=(img_dimension,img_dimension,3),name=\"preprocessing_layer\"),\n",
    "                                   incep,\n",
    "                                   keras.layers.Dense(encoding_size,activation='relu',name=\"encoding_layer\"),\n",
    "                                   keras.layers.Reshape((8*8,encoding_size),name=\"reshape_layer\")\n",
    "],name=\"Encoder\")\n",
    "encoder.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2eb0d177",
   "metadata": {},
   "outputs": [],
   "source": [
    "W1 = keras.layers.Dense(512,name=\"W1\")\n",
    "W2 = keras.layers.Dense(512,name=\"W2\")\n",
    "V = keras.layers.Dense(1,name=\"V\")\n",
    "repeater = keras.layers.RepeatVector(8*8)\n",
    "doter = keras.layers.Dot(axes=1)\n",
    "concatenator = keras.layers.Concatenate()\n",
    "\n",
    "def attention_step(enc,h_prev):\n",
    "  h = repeater(h_prev)\n",
    "  score = tf.nn.tanh(W1(enc)+ W2(h))\n",
    "\n",
    "  alphas =tf.nn.softmax(V(score),axis=1)\n",
    "\n",
    "  context = doter([alphas,enc])\n",
    "  return context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "372e1feb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_3 (InputLayer)            [(None, 512)]        0                                            \n",
      "__________________________________________________________________________________________________\n",
      "input_2 (InputLayer)            [(None, 64, 512)]    0                                            \n",
      "__________________________________________________________________________________________________\n",
      "repeat_vector (RepeatVector)    (None, 64, 512)      0           input_3[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "W1 (Dense)                      (None, 64, 512)      262656      input_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "W2 (Dense)                      (None, 64, 512)      262656      repeat_vector[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "tf.__operators__.add (TFOpLambd (None, 64, 512)      0           W1[0][0]                         \n",
      "                                                                 W2[0][0]                         \n",
      "__________________________________________________________________________________________________\n",
      "tf.math.tanh (TFOpLambda)       (None, 64, 512)      0           tf.__operators__.add[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "V (Dense)                       (None, 64, 1)        513         tf.math.tanh[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf.nn.softmax (TFOpLambda)      (None, 64, 1)        0           V[0][0]                          \n",
      "__________________________________________________________________________________________________\n",
      "input_5 (InputLayer)            [(None, 1)]          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "dot (Dot)                       (None, 1, 512)       0           tf.nn.softmax[0][0]              \n",
      "                                                                 input_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "embedding (Embedding)           (None, 1, 256)       2560256     input_5[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_3 (Concatenate)     (None, 1, 768)       0           dot[0][0]                        \n",
      "                                                                 embedding[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "input_4 (InputLayer)            [(None, 512)]        0                                            \n",
      "__________________________________________________________________________________________________\n",
      "lstm (LSTM)                     [(None, 512), (None, 2623488     concatenate_3[0][0]              \n",
      "                                                                 input_3[0][0]                    \n",
      "                                                                 input_4[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense (Dense)                   (None, 10001)        5130513     lstm[0][0]                       \n",
      "==================================================================================================\n",
      "Total params: 10,840,082\n",
      "Trainable params: 10,840,082\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "encodings = keras.layers.Input(shape=(8*8,encoding_size))\n",
    "\n",
    "init_h = keras.layers.Input(shape=(LSTM_size))\n",
    "init_c = keras.layers.Input(shape=(LSTM_size))\n",
    "\n",
    "teacher_forcing = keras.layers.Input(shape=(1))\n",
    "\n",
    "embedding_layer = keras.layers.Embedding(words+1,256,)\n",
    "\n",
    "\n",
    "context_prev_tar_concat_layer = keras.layers.Concatenate()\n",
    "decoder_lstm_layer = keras.layers.LSTM(LSTM_size,return_state=True,dropout=0.2)\n",
    "decoder_dense_layer = keras.layers.Dense(words+1,activation='softmax')\n",
    "\n",
    "h = init_h\n",
    "\n",
    "c = init_c\n",
    "\n",
    "context = attention_step(encodings,h)\n",
    "\n",
    "embedds = embedding_layer(teacher_forcing)\n",
    "\n",
    "decoder_lstm_input = context_prev_tar_concat_layer([context,embedds])\n",
    "  \n",
    "h , _ , c = decoder_lstm_layer(decoder_lstm_input,initial_state=[h,c])\n",
    "  \n",
    "out = decoder_dense_layer(h)\n",
    "\n",
    "decoder = keras.models.Model([encodings,init_h,init_c,teacher_forcing],[out,h,c])\n",
    "decoder.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "33aa3e8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def sparse_it_up(real, pred):\n",
    "  mask = tf.math.logical_not(tf.math.equal(real, 0))\n",
    "\n",
    "  real = tf.cast(real,tf.int64)\n",
    "  real = tf.one_hot(real,words+1,axis=-1)\n",
    "\n",
    "  loss_ = tf.losses.categorical_crossentropy(real, pred)\n",
    "\n",
    "  mask = tf.cast(mask, dtype=tf.float32)\n",
    "\n",
    "  loss_ *= mask\n",
    "\n",
    "  return tf.reduce_mean(loss_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "18c0b1fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = keras.optimizers.Adam()\n",
    "\n",
    "@tf.function\n",
    "def train_step(img,init_state,teacher,target):\n",
    "  with tf.GradientTape() as tape:\n",
    "\n",
    "    encodings = encoder(img)\n",
    "    h = init_state\n",
    "    c = init_state\n",
    "    loss = 0\n",
    "    for i in range(max_cap_len+1):\n",
    "      dec_inp = teacher[:,i:i+1]\n",
    "      o, h , c = decoder([encodings,h,c,dec_inp])\n",
    "\n",
    "      loss += sparse_it_up(target[:,i],o) \n",
    "\n",
    "  total_loss = (loss / int(target.shape[1]))\n",
    "\n",
    "  trainable_variables = encoder.trainable_variables + decoder.trainable_variables\n",
    "\n",
    "  gradients = tape.gradient(loss, trainable_variables)\n",
    "\n",
    "  optimizer.apply_gradients(zip(gradients, trainable_variables))\n",
    "\n",
    "  return loss, total_loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7a572136",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''This function is for forward passing features for calculating losses with no backprop'''\n",
    "@tf.function\n",
    "def valid_step(img,init_state,teacher,target):\n",
    "  with tf.GradientTape() as tape:\n",
    "\n",
    "    encodings = encoder(img)\n",
    "    h = init_state\n",
    "    c = init_state\n",
    "    loss = 0\n",
    "    for i in range(max_cap_len+1):\n",
    "      dec_inp = teacher[:,i:i+1]\n",
    "      o, h , c = decoder([encodings,h,c,dec_inp])\n",
    "\n",
    "      loss += sparse_it_up(target[:,i],o) \n",
    "\n",
    "  return loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cab9b22d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1 Batch 0 Loss 5.5675\n",
      "Epoch 1 Batch 50 Loss 3.4996\n",
      "Epoch 1 Batch 100 Loss 3.5267\n",
      "Epoch 1 Batch 150 Loss 3.4371\n",
      "Epoch 1 Batch 200 Loss 3.4501\n",
      "Epoch 1 Batch 250 Loss 3.3516\n",
      "Epoch 1 Batch 300 Loss 3.1141\n",
      "Epoch 1 Batch 350 Loss 2.9148\n",
      "Epoch 1 Batch 400 Loss 2.7288\n",
      "Epoch 1 Batch 450 Loss 2.4827\n",
      "Epoch 1 Batch 500 Loss 2.3401\n",
      "Epoch 1 Batch 550 Loss 2.2957\n",
      "Epoch 1 Batch 600 Loss 2.2480\n",
      "Epoch 1 Batch 650 Loss 2.3729\n",
      "Epoch 1 Batch 700 Loss 2.1620\n",
      "Epoch 1 Batch 750 Loss 2.2492\n",
      "Epoch 1 Batch 800 Loss 2.1613\n",
      "Epoch 1 Batch 850 Loss 2.1973\n",
      "Epoch 1 Batch 900 Loss 2.1507\n",
      "Epoch 1 Batch 950 Loss 2.1985\n",
      "Epoch 1 Batch 1000 Loss 2.0120\n",
      "Epoch 1 Batch 1050 Loss 1.9757\n",
      "Epoch 1 Batch 1100 Loss 2.1341\n",
      "Epoch 1 Batch 1150 Loss 1.9744\n",
      "Epoch 1 Batch 1200 Loss 2.0021\n",
      "Epoch 1 Batch 1250 Loss 2.0118\n",
      "Epoch 1 Batch 1300 Loss 1.9347\n",
      "Epoch 1 Batch 1350 Loss 1.9089\n",
      "Epoch 1 Batch 1400 Loss 1.9602\n",
      "Epoch 1 Batch 1450 Loss 1.9648\n",
      "Epoch 1 Batch 1500 Loss 2.0030\n",
      "Epoch 1 Batch 1550 Loss 2.0038\n",
      "Epoch 1 Batch 1600 Loss 1.8653\n",
      "Epoch 1 Batch 1650 Loss 1.8486\n",
      "Epoch 1 Batch 1700 Loss 1.9291\n",
      "Epoch 1 Batch 1750 Loss 1.8567\n",
      "Epoch 1 Batch 1800 Loss 1.8682\n",
      "Epoch 1 Batch 1850 Loss 1.9915\n",
      "Epoch 1 Batch 1900 Loss 1.8707\n",
      "Epoch 1 Batch 1950 Loss 1.8311\n",
      "Epoch 1 Batch 2000 Loss 1.8806\n",
      "Epoch 1 Batch 2050 Loss 1.8168\n",
      "Epoch 1 Batch 2100 Loss 2.0160\n",
      "Epoch 1 Batch 2150 Loss 1.8587\n",
      "Epoch 1 Batch 2200 Loss 1.9214\n",
      "Epoch 1 Batch 2250 Loss 1.7223\n",
      "Epoch 1 Batch 2300 Loss 1.8752\n",
      "Epoch 1 Batch 2350 Loss 1.8563\n",
      "Epoch 1 Batch 2400 Loss 1.7918\n",
      "Epoch 1 Batch 2450 Loss 1.8398\n",
      "Epoch 1 Batch 2500 Loss 1.6519\n",
      "Epoch 1 Batch 2550 Loss 1.7830\n",
      "val_loss= 1.8032627705508057\n",
      "Model_imporved. Saving..\n",
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "Epoch 2 Batch 0 Loss 1.7643\n",
      "Epoch 2 Batch 50 Loss 1.7964\n",
      "Epoch 2 Batch 100 Loss 1.8542\n",
      "Epoch 2 Batch 150 Loss 1.7021\n",
      "Epoch 2 Batch 200 Loss 1.7237\n",
      "Epoch 2 Batch 250 Loss 1.6776\n",
      "Epoch 2 Batch 300 Loss 1.7962\n",
      "Epoch 2 Batch 350 Loss 1.7335\n",
      "Epoch 2 Batch 400 Loss 1.7437\n",
      "Epoch 2 Batch 450 Loss 1.6874\n",
      "Epoch 2 Batch 500 Loss 1.6908\n",
      "Epoch 2 Batch 550 Loss 1.8373\n",
      "Epoch 2 Batch 600 Loss 1.6862\n",
      "Epoch 2 Batch 650 Loss 1.6787\n",
      "Epoch 2 Batch 700 Loss 1.6908\n",
      "Epoch 2 Batch 750 Loss 1.7289\n",
      "Epoch 2 Batch 800 Loss 1.7078\n",
      "Epoch 2 Batch 850 Loss 1.8473\n",
      "Epoch 2 Batch 900 Loss 1.7021\n",
      "Epoch 2 Batch 950 Loss 1.7470\n",
      "Epoch 2 Batch 1000 Loss 1.7081\n",
      "Epoch 2 Batch 1050 Loss 1.7149\n",
      "Epoch 2 Batch 1100 Loss 1.6620\n",
      "Epoch 2 Batch 1150 Loss 1.7699\n",
      "Epoch 2 Batch 1200 Loss 1.6172\n",
      "Epoch 2 Batch 1250 Loss 1.6712\n",
      "Epoch 2 Batch 1300 Loss 1.7157\n",
      "Epoch 2 Batch 1350 Loss 1.6361\n",
      "Epoch 2 Batch 1400 Loss 1.6858\n",
      "Epoch 2 Batch 1450 Loss 1.6350\n",
      "Epoch 2 Batch 1500 Loss 1.7181\n",
      "Epoch 2 Batch 1550 Loss 1.7289\n",
      "Epoch 2 Batch 1600 Loss 1.6024\n",
      "Epoch 2 Batch 1650 Loss 1.7032\n",
      "Epoch 2 Batch 1700 Loss 1.7221\n",
      "Epoch 2 Batch 1750 Loss 1.6615\n",
      "Epoch 2 Batch 1800 Loss 1.6837\n",
      "Epoch 2 Batch 1850 Loss 1.7027\n",
      "Epoch 2 Batch 1900 Loss 1.5888\n",
      "Epoch 2 Batch 1950 Loss 1.7054\n",
      "Epoch 2 Batch 2000 Loss 1.5968\n",
      "Epoch 2 Batch 2050 Loss 1.7391\n",
      "Epoch 2 Batch 2100 Loss 1.6853\n",
      "Epoch 2 Batch 2150 Loss 1.7567\n",
      "Epoch 2 Batch 2200 Loss 1.6295\n",
      "Epoch 2 Batch 2250 Loss 1.5967\n",
      "Epoch 2 Batch 2300 Loss 1.6594\n",
      "Epoch 2 Batch 2350 Loss 1.6580\n",
      "Epoch 2 Batch 2400 Loss 1.6188\n",
      "Epoch 2 Batch 2450 Loss 1.5547\n",
      "Epoch 2 Batch 2500 Loss 1.5509\n",
      "Epoch 2 Batch 2550 Loss 1.6849\n",
      "val_loss= 1.6794921107262186\n",
      "Model_imporved. Saving..\n",
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "Epoch 3 Batch 0 Loss 1.7150\n",
      "Epoch 3 Batch 50 Loss 1.4850\n",
      "Epoch 3 Batch 100 Loss 1.5548\n",
      "Epoch 3 Batch 150 Loss 1.6578\n",
      "Epoch 3 Batch 200 Loss 1.7446\n",
      "Epoch 3 Batch 250 Loss 1.5490\n",
      "Epoch 3 Batch 300 Loss 1.6337\n",
      "Epoch 3 Batch 350 Loss 1.5835\n",
      "Epoch 3 Batch 400 Loss 1.5430\n",
      "Epoch 3 Batch 450 Loss 1.5875\n",
      "Epoch 3 Batch 500 Loss 1.5107\n",
      "Epoch 3 Batch 550 Loss 1.5721\n",
      "Epoch 3 Batch 600 Loss 1.5226\n",
      "Epoch 3 Batch 650 Loss 1.5947\n",
      "Epoch 3 Batch 700 Loss 1.5733\n",
      "Epoch 3 Batch 750 Loss 1.4923\n",
      "Epoch 3 Batch 800 Loss 1.5764\n",
      "Epoch 3 Batch 850 Loss 1.6233\n",
      "Epoch 3 Batch 900 Loss 1.6976\n",
      "Epoch 3 Batch 950 Loss 1.5580\n",
      "Epoch 3 Batch 1000 Loss 1.6972\n",
      "Epoch 3 Batch 1050 Loss 1.6057\n",
      "Epoch 3 Batch 1100 Loss 1.6052\n",
      "Epoch 3 Batch 1150 Loss 1.4997\n",
      "Epoch 3 Batch 1200 Loss 1.6091\n",
      "Epoch 3 Batch 1250 Loss 1.5298\n",
      "Epoch 3 Batch 1300 Loss 1.5212\n",
      "Epoch 3 Batch 1350 Loss 1.6237\n",
      "Epoch 3 Batch 1400 Loss 1.6825\n",
      "Epoch 3 Batch 1450 Loss 1.5388\n",
      "Epoch 3 Batch 1500 Loss 1.6053\n",
      "Epoch 3 Batch 1550 Loss 1.6371\n",
      "Epoch 3 Batch 1600 Loss 1.5120\n",
      "Epoch 3 Batch 1650 Loss 1.5467\n",
      "Epoch 3 Batch 1700 Loss 1.5724\n",
      "Epoch 3 Batch 1750 Loss 1.6535\n",
      "Epoch 3 Batch 1800 Loss 1.6314\n",
      "Epoch 3 Batch 1850 Loss 1.5450\n",
      "Epoch 3 Batch 1900 Loss 1.5894\n",
      "Epoch 3 Batch 1950 Loss 1.4760\n",
      "Epoch 3 Batch 2000 Loss 1.5239\n",
      "Epoch 3 Batch 2050 Loss 1.5484\n",
      "Epoch 3 Batch 2100 Loss 1.5018\n",
      "Epoch 3 Batch 2150 Loss 1.7030\n",
      "Epoch 3 Batch 2200 Loss 1.5746\n",
      "Epoch 3 Batch 2250 Loss 1.5192\n",
      "Epoch 3 Batch 2300 Loss 1.4728\n",
      "Epoch 3 Batch 2350 Loss 1.5676\n",
      "Epoch 3 Batch 2400 Loss 1.4844\n",
      "Epoch 3 Batch 2450 Loss 1.5102\n",
      "Epoch 3 Batch 2500 Loss 1.5713\n",
      "Epoch 3 Batch 2550 Loss 1.4423\n",
      "val_loss= 1.6376941608932782\n",
      "Model_imporved. Saving..\n",
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "Epoch 4 Batch 0 Loss 1.5204\n",
      "Epoch 4 Batch 50 Loss 1.5725\n",
      "Epoch 4 Batch 100 Loss 1.5276\n",
      "Epoch 4 Batch 150 Loss 1.3892\n",
      "Epoch 4 Batch 200 Loss 1.5002\n",
      "Epoch 4 Batch 250 Loss 1.5147\n",
      "Epoch 4 Batch 300 Loss 1.5207\n",
      "Epoch 4 Batch 350 Loss 1.4808\n",
      "Epoch 4 Batch 400 Loss 1.5834\n",
      "Epoch 4 Batch 450 Loss 1.5271\n",
      "Epoch 4 Batch 500 Loss 1.4772\n",
      "Epoch 4 Batch 550 Loss 1.4605\n",
      "Epoch 4 Batch 600 Loss 1.5234\n",
      "Epoch 4 Batch 650 Loss 1.4871\n",
      "Epoch 4 Batch 700 Loss 1.5021\n",
      "Epoch 4 Batch 750 Loss 1.5583\n",
      "Epoch 4 Batch 800 Loss 1.4312\n",
      "Epoch 4 Batch 850 Loss 1.3912\n",
      "Epoch 4 Batch 900 Loss 1.4094\n",
      "Epoch 4 Batch 950 Loss 1.5298\n",
      "Epoch 4 Batch 1000 Loss 1.4608\n",
      "Epoch 4 Batch 1050 Loss 1.5313\n",
      "Epoch 4 Batch 1100 Loss 1.5088\n",
      "Epoch 4 Batch 1150 Loss 1.4166\n",
      "Epoch 4 Batch 1200 Loss 1.5020\n",
      "Epoch 4 Batch 1250 Loss 1.4866\n",
      "Epoch 4 Batch 1300 Loss 1.4570\n",
      "Epoch 4 Batch 1350 Loss 1.5845\n",
      "Epoch 4 Batch 1400 Loss 1.4315\n",
      "Epoch 4 Batch 1450 Loss 1.5201\n",
      "Epoch 4 Batch 1500 Loss 1.5601\n",
      "Epoch 4 Batch 1550 Loss 1.3527\n",
      "Epoch 4 Batch 1600 Loss 1.3423\n",
      "Epoch 4 Batch 1650 Loss 1.3908\n",
      "Epoch 4 Batch 1700 Loss 1.5469\n",
      "Epoch 4 Batch 1750 Loss 1.4956\n",
      "Epoch 4 Batch 1800 Loss 1.4254\n",
      "Epoch 4 Batch 1850 Loss 1.5857\n"
     ]
    }
   ],
   "source": [
    "EPOCHS = 5\n",
    "\n",
    "prev_loss = np.inf\n",
    "\n",
    "for epoch in range(EPOCHS):\n",
    "    start = time.time()\n",
    "    total_loss = 0\n",
    "\n",
    "    for (batch, ((img, s, teacher) ,target)) in enumerate(dataset):\n",
    "        batch_loss, t_loss = train_step(img, s, teacher ,target)\n",
    "        total_loss += t_loss\n",
    "\n",
    "        if batch % 50 == 0:\n",
    "            print ('Epoch {} Batch {} Loss {:.4f}'.format(\n",
    "              epoch + 1, batch, batch_loss.numpy() / int(target.shape[1])))\n",
    "    \n",
    "    val_loss=0\n",
    "\n",
    "    for (i, ((img, s, teacher) ,target)) in enumerate(dataset_val):\n",
    "      val_loss += valid_step(img, s, teacher ,target)\n",
    "    \n",
    "    val_loss = val_loss.numpy()/((i+1)*(max_cap_len+1))\n",
    "    print(\"val_loss=\",val_loss)\n",
    "    \n",
    "    #This code makes sure we only save the best val_loss score weights\n",
    "    if val_loss < prev_loss:\n",
    "      print(\"Model_imporved. Saving..\")\n",
    "\n",
    "      encoder.save(\"encoder.hdf5\")\n",
    "      decoder.save(\"decoder.hdf5\")\n",
    "    \n",
    "    else:\n",
    "      print(\"Model didn't imporve.\")\n",
    "\n",
    "    prev_loss = val_loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4cd5fd74",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the best validation accuracy score weights\n",
    "encoder.load_weights(\"encoder.hdf5\")\n",
    "decoder.load_weights(\"decoder.hdf5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a39bcec2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def caption_image(path):\n",
    "  image = load_img(path)#/255.0\n",
    "\n",
    "  encodings = encoder.predict(tf.reshape(image,(1,img_dimension,img_dimension,3)))\n",
    "\n",
    "  texts = [\"<sos>\"]\n",
    "  h = np.zeros((1,LSTM_size))\n",
    "  c = np.zeros((1,LSTM_size))\n",
    "  for _ in range(max_cap_len + 1):\n",
    "    dec_inp = np.array(tok.word_index.get(texts[-1])).reshape(1,-1)\n",
    "    #print(dec_inp)\n",
    "    props,h,c = decoder.predict([encodings,h,c ,dec_inp])\n",
    "    props= props[0]\n",
    "    idx = np.argmax(props)\n",
    "    \n",
    "    texts.append(tok.index_word.get(idx))\n",
    "    \n",
    "    if idx == tok.word_index['<eos>']:\n",
    "      break\n",
    "  if tok.word_index.get(texts[-1]) != tok.word_index['<eos>']:\n",
    "    texts.append('<eos>')\n",
    "  print(' '.join(texts))\n",
    "  plt.imshow(image/255.0)\n",
    "  plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "342e4a69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<sos> red into is holding long and long <eos>\n"
     ]
    },
    {
     "data": {
      "image/png": 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DZCO16zQ2xxVHg70LNHttKXk64uWBSqdbcNcnhgQhiNJMkbVfn/Nbj7llBnThfCqcL7On972S6EwxsJZOa5WQd0xTZl0n1ksjh0iPiWaebbjPMWqIWK9eU3sgvz43P19GHziIJ/oRWIF2vbIur4Got42M0AZesLWWNhAtjNR+pLZbJvjX8aBfNs4w7bHiNChQNAQ0KDQd9VSl1k6pnal7miMa3JglYVZppdBTJkVPo7ooptCbQVtp0uktEdO10w22HZhRE15fb2hQ4t74bQ2Hih8e1SvtbmnGUitb49/GIev429C8XtM3va6t3ttaKiajqDe/ng2B20611xaGCkxTYn/YUdZCL40QI7spc8iJu+OR795/4D/87nu+/XDDzXHHcZ/ZT4F9zoSkxOwedi2FtVVqrYgoebcjp8guZ6II66XydCr84fMz//rjA//y02cen5+4lMZuf4Te+ePnH/njD595fHlBDLJGr3vIbmz2hi2Ee6lqW635Wk4bfeM3er9UnWSiAtWEbhtoEhwBNghiyFYWsL2XOjIvDONX/726s+3NqPVryowjxA6YSe+Uy8rLy4VlWcjThFklhcRU4WKNpJ1dCswpMy8LoXdCCogFKA0TP77WlW4CTTBpjntY9/ON1+W6uWWBIJ2I0hWa9YHeOhFG48AlTEEiInXU8B4YDL8XGobR960v/dd7nP+mceaYkF5Z6bQRCUOMjii3iIVIb53emlOnordEVAIWO2tvji7WFe0Tog7SaKt0aVQq2iFbALbC+NVjehvhK5TkFZ19/aarcbqj/jradjNKq6NpzrXedRu0N2ntK8Jp9oYhtL3MIzPDyB3f6SO6CMf9nv2UudlPvLu7cTfSC7vdjrvjge+//cBvPn3g2/sb7j7ccLw9kvNECDJqzC3FMVp1quSyVp5ezsxz4eefn3hZZ0KAT+/uuN1PHO8i/3h7x+9+e8vl9Bs+f3ni8/OFqoHW4OPPd7w/vuOHn37m+emJoH5AqkGtjWLQB2oZcHRRuvOmzewVYzIlMFphmwMEUAg9DM6suYMbNakN0KhZGBlOu6apXkLqlbhyjURv+Miv7bQ35YUZtXbO54VlLhwPFevFy66orM2BnxwzU0zMMWJrIYZA1sAalNANI4BtrK9GEO/fb2iAP4fB/rrS7RSC16EyeIrSB7ogStNO73LFTbZMSQcSL7KBQDI+m/2F8/3165cjpwZ6iGgv1Oq/NmaJhoB2dapXrZRlIYaEJq8ve2gOt7ROnWda2pHyRNBIlYCI0umUZrSWrvWYqCCm1wf1Frm9Pqw3vYq3bQiRjRnkXlFHr1ViHOQJTykUIQxwyKJ7tTf2ichWzLt3NMZ7mKLqFEVVIyXju/t7fv/NJz7d7vy9FG52Eze7PedlZq6dw37isI8YC09LpT7OtHbm/v6efDyScsYINAVU0F1k341jg/1xx1oL5VJ5fln448Mz/+///K+kJLy7O3B32DNFR3I/fjxwd58cDCHz3acj/+F3n3h5WfnjDw/84fOPfDk98XJeaMtK6G148jYIJoEUIikOXmnzqGHdWzYawjWcbt0bwSOJSHdKtDgY11ujtEatdSCzDmzRnV1kZlgQdGQcKo2oAdOBuPMGRBuGbzhF8Hy68HK6cHd3pNaV/e7ILgXOY9AiTplpmpjWzNwaSRO0TksNKV7vF/q1pZJ0RDHxiKrqv5f+JoLahnG9tlNkpOu922C54eVWF8QLfDdiwkh9u4N847O19ieAx99inBYD2hOhVVqt1GWhxYRME0JEeoRYEevUulLL6qTjEFHraCy0ZvRWqeuFEKM3n2NAmyJl9L/6Buo49r/1jpx08NUVjf/KV59J/qROdQK9kkJkHyIpZhadx83aakkbEcF/7vY//3rF3r4XSgxKikKOkQ/HI+8OR+5uE7//9IHvPn3g07sDx8NEN2OeL86u7Dc8zd76mKKyD4lEpF8aT/VEXY2X5xN5yuwPe/J+P1pLXp+E3pGgZM10jMkin/QGpPPwcOLh88zDwwmiEFPkkCemoFjrzGVh7aARbu8i0+4jH94f+PnhmZ8envjyfOJ8uTihvFfvHY7sVQaOIMHRbBuAV6sdaTaobAERaNaw1ukmdOmIuvNszWhVmNcGBjF2shbS6Hm23tE2mERBiCmQRzmzlvraVhmO19uOnlqvc+V8ujAvhf3B6FaJOZErrK3RpZNzZJoyy7rQi2d1sUWnKZqTzmNNmLThZUb6Lc6zFZRm7QpgCd2BSxOsCb29PY1vaHzm79+b0olAR6x5q8WEtoGaqOcEf6kF9r/HOGVEmxiDAzu1UNaVEKN7QgmYRkw6tRfKeiGlREzZI26IqEZag7oUYl4JeUfQSAvR4XprbCRop/FtgAN/IXL+8usrdG+kTDlGphS5bCSJcUO21MJoV1DgivnbRin0tGRKkZvDxD5nbqbM9++PfP/+HR/eHYkxEqOx22W+++YDuymNQ1/AGt925eW8sK6FXQ5MOZJzGsMAQtBIJLKeFy7LjIbo3OCBMttIyVUcQY3S2U8B7vajMX+mnBsv9cSP7YkUhQ+3B1JItLVyWlZq91q/hsbhLvO7/Se++fCOy7JwOp15Op95uly4XGaWtTCvRqlOFslRyTHSe6eVjtVKjF4bqwb6RjLoG/DjBz2o0oORgvcvVT1iiQaCcGWbqW4IKcToRi31FWR6+2y3FLGUzvP5zGVeuGtObJliZhfCtU6PKZJTIsbIWj21rRqooUJTAokWKr0HujV0oOr9GhWFbkptrxnc63n0qNgHoLTVnlf33uXaPmFkgxsraPgB/3zyltH9569fTmtReowES0TtrL1QyoVUohtZTPTWCNowceh+rQWNCRVPJ0NyorFZp5UVjYmgkRASLSWs8vqk6I6A8cYgt8j/JxnA1zfr9WvbFIfg4EXOymGaOMXIqsUhdzViEGrlOqfqD163+0lQIefE/eHAh5s9724nDnlinwOHLMRQ2e8z333zLSoQYyDkxN2HWz7oLbV11uK147t54fnlRG/G8bj3tsgw/GbmrSgNfHl54fn5iRicUdV6d7JGEFqrXObl9RFrR0Pn5nbvxvR0ZikXns4LXx6euL89sssZq1BWWFqhm+NfHUGickgT+0Pmvtxyvsw8PL3wx8+PvMzPnC91GI4xhYAGIcVAZzCOJFwNzQ9yG75tG2Dw1laO3QEU+phYwpHXIGzQj0cyBrXO+638CbHiFYRznOD5dOb5dOZDuaXVgk2dKUZS6ZRWSSkxpcyUPXoKEKLTFJs5yCUYqQdvOW3gHwz0NqAqpOi4hRP8h/PX0butHkFVZETcfk17rZuTHd6UY1dihwx+t2xI8K8wzlZmNCUsKJqU2NXnN9eVEBMaHOAJoQ72g1HqQuppjIJFJCiqAWtuvNoKIYvfqJiuxrT143jrXTZEdKtxfjlFvxroK0lciSGxnzL7/cS8FmqvnhEARmHjjm6psahwSMLtcc+7uyPf3N1yfzNxyErSwC4nohhJBWoFVr77/jv2+wmhY1Y5HG9JKdOBZW2sy8Lu8YnnpxOiynRITGmMHHUcsML4dHcHpvz05Qs6eKsAaRJupkwU5fF0olXPV7sJc62IGLeHzHlZ6V1Zi/Ljj0/E7DVkiJEQgmcI3aimo94ZvOWg3Bz25JSZdv7fnz4/srZCDCCDOy07vCy4UgaNKNBEoQevUUdpsk0ySRgeoTmPNKi3Tgw/oGbDIQ+g5Ao2/cWAYttxoM6F8/mFebmj2QGssUuJaR3RrndydAPNKUMpJA00Vaw1N7CuNI3o5lgMVLqTMMIAhGJ4NbiBrnYTqBAE0DaQ6K+DhBu5f23jG/StrTJq1dee519+/aJxlrKSQyZqAqlY6PReKGUllgkJGYL6DU2KlAal0MuChegFfogQoLZGKw4otZhBAyEG6GlQvOQKxBhcFRD8w8Jr+HxNcf/shmy9SvE6EYwQEnnKTFN2sGodo25iV6IAgImnYDf7PR9v93zz7sb7joc9KQVyVMSMNGX2ORIRppBgLjw9PPD+/T9wc7yltYVlWUhJ2e125N1EbRM5B/ZT5vHlzGWeUc1jOCBwyDtqa1Qzvv1wT6+NH37+zJQnQHh+uvDME/spMQXlvBbOlwumGRPl5TxTmzfAiUKSHb1Ens8npF0IEVJKpLxDNaEmFPMCc2OqdDyC390c2OXEx3d3PJ3PnM5neq3UXr3eMkc4X2+8I9itGktx5F7EmLIDiqVDLdCrIaFhSdEY3RDYWMfufGM0JlN6i5S1jhTzL79qNU7PZ+bzTC8NBmq7T8pcO7VWB4VSJsRIrQUNisRA76vzr1Wo6jRGaSBqRLErcuugvV0hCjEd/mE4NXMSSR/Oqve3IOb4XKOJKgh0JyH0xiDkCO3X9jmXpRBiJeWIxox0kN6wWqnLhZgTqhFNE91WrHdaNdbV/10IiRQSa2reXGrVDTdlj6xBXZ5EZAuao0xWrwsZzK63+fub6/uzIWM2YsJG73NwKMZETEpKzv9s1+xfkZF65Bz4cHPDN3e3fPPhyDd3Rz7c7JiST8ocUiZPGZXA8eaA9EYvK/sc2JXOT//yR/R3wvsPH1iWC1++PHC8PXK8/8CUMyEGpt2O3XHPP/3zH/j54cT97R2HnSPIKSasdhqdw2HH/mVHbUaahEM48vQsfPnyzE69t1hr5bLMNAKiE7VW5tUJ36U62hhDZC2dcik8nxeUF/a7TNodEN17iturR8Uxa6FBOBx37A477tYDz89nHh5fuCwXSu2UWtyo8SjnFMB2TTtbNxIC3Z12ioB1mhoqkbBNFgV/uHEc/CZAUDJgFqm9Y6WNIGMDsHlF6a0ZL88rz6cLl3Xm0I5k614PK8ytkHsiaWTSQB0qG5MqTQK1d9QCkUq3SOsNkYSEhkYb7U0ns5h0Whup6wB/YlRPj5s5mcGcQNN65y1t0yuz7liKeuJhg3AvPfz6yNmHNpAmHwtLIWAtOIpVV3othDz5yFiYnAYmK72t1Lr4JEsIaI9IqFcZk9AaFjMiEVWfYtnGwd4+AJBr9/NtzfnXwKGtXthuimx6MQohJKIEAgKtDxjfWS45Rr59f8e/+/SeT3cHPr47cH/ccUiC9kYz42ZK7I+Z0oygndu7W6R31svFo/a88tM//wutrHz69jvmVnl8eCHtjtzcH9G4Q+OChMh3ZeUPP37m4emE6j1TjkhrBFVSVHKO3N/d8PB84nK5EPLE8e6W+dmo8wvSO5MJVaCsC7U3dzjG9R636jRJNEIztEEpM+tlIexW8rGh6qm3qPdaEaeEd2soyn6aiOop7eOzcplnBFhxHqr7VAdIcvYUrVXXwYiR0dJyUPE6kMAA/kxex6jE3EgZI1QbbMybB2qv+Pk4Giyl8PTsqO26LqwpomHvLcBSaK0hWzsthDEqtknXdGjdS67QnNtNv84Xb920bRBAQsdMr9HcuqFRCGL02seopJcIXoO1PxnW9Pt0xYJEGbN3f9X+ftk4aZS6EttETIEWAhoDvRq1d9ZlYa+KRkFjxGojNKO0QllnUkqEOLlhxE4x70P1UmmpE0IkBEMH0fir17DRrcfk/cY/l+x4HVL2K976oNcaZmswh4imRIiRtjqwohrYTYnv3t3w77/9wPfvbvl4d+TD7Z6chWAN6QoauTkcOdxNrOvKPK8slzPv3r3j9nikLqv39eaVP/7Tv7DWyre/+S3TdODp58+INY5379GoaIocb+/4TVd++Okzf/z8Mx8+vueQIqfLy8ilhGmaSJfKy+nEPD8S897TMwwozCOVzBoptXOe50GnG4CDQG1GR6kSx9nY0WtheV5Y1k7e7dG0Q4JQpBLjRJAE0mhitO7P9f7+jhAzj0+PxFiIax2SIJVuG0bQ2WVn7fcN/DB5g1COZ7Od045Hx+5IqTMsvQU2Co9r6+TqlHnlW3sro/P8cuZ0vvD+7shaM1PYEYOiBUqtTNOeXdqxhsJcnG2lISLB68xgiRa21LVthRMiLvj1Sop/HboYB8/r5WvW+0rFM9owbKM1B8NE9NoDbcYYIHj9PH+zcUpgTJmspHQgpOSIVOr00qh1odZEjnuPkHF4kDHPV0tDg0EIhJiovSCtuUpaWa8pzlsFg2sPZPSF2GpJvk5q/5T8vpHQYTxkjUNiw1CNTEHJwYcFZBAVclQ+vtvxH777xD98+44PNzvuDwcOUySFQugKFghhYn/cE6eESCPUgNXGMi8cPn4gH/bUeSUvhXm+8PSvP2DLwvtvviXnA09fznQT9rf3xHSAY6SrsK8rP/23f+K/fv6JDx/fcUwTp/OJasaU9+x2Sl73vDwbD1+e6b2T1NjHyD7C2VxcLSchrsLDZWatZRzA5FRJA+lCVWWwX5EO66VS6ok4FR+kTwmq0UN1HAEfNu7mzu14yIjccLnMXNaV06Uzz+KCad2uEiX92iH2UT/tTr43G0MO4/k4MWFwcEeW4/ROQ7OSitLWTUrs9TlfHfHAjU6nmaeXFy7zHbupYbG5vtCirK0RaGgMxJhpcgaFqEKlU6RhwQfATTxYt+b0zmZ9CKL5qJz3652mZ4PO2g1KMVrbanG7UjydutfGJMsg2QxCC9Kw5mm2venR/03GGTVRW6esy3Vo+to+6U5ur2UlxeS90BjoPaA1UFunlUrP3bmYIqgEmhVqq7DMbocqBOukQXbdqHWbAX7VLnlDgfrKiWwAEToGjX0q4DoQrkpIkRRcvaFqIAp88+6Gf/zNO/7dN+/47t2Ru33kOEViVJImf2hNiFMm7gI5B9QyFpyULr3Ty8LucCTfHOm5klPk6fGRl5+eqEvncHdgd9zz/GC0BrvjkbrOrMtMUmEXJ/7w8x/44Ycf+O7Te3LMXOaVEJ6YDkemFDnHiDTh+fGF2hvvbg7cHRIisKyFfc7sU+IUC6UYy9yRsBKioJZogvcPu6dmGibUlNoqfS5EbVir1FhIMaEpeZnBIIObETSy37tWVApKUuGkK+dlplXvF1p3koeMSAhyJSug3edvzKOMbOnjm6jYEURdsKtPndaNpZU/a6O5hfrZWOfG8/OZ87xye1NpvTjWEYVldW53DNGHvglgxckVGqF259tu3JRuVDMf2jCotft5GlpC1hoieuUSe03t44jNtlaK16lXJ9KVWh0ACmMccOvlC69O5m82zpQn7DLTirN/phiJEiEkLFR6K6zr7I143XnRPn71VlnmCw0jThmrhVJmynphWSt6uZCWi9eyquSbI5OkazoKmxLC4NNuH+atYY50V+BPDFaHcb4eLMUlU0LMtCDc3Uz8z//wG/6H7+75cLfjuE8cdxNZAyHDFIRyKXQxck6kKTLliPZGTwlJkSnvkAptKcSckChoTsTdjvnlhf54Yp1nLCm3dzdczmd2xx05BObTC8v5QtLO/fGOf/7nP/Dfzn/k/t0903TgfJl5fjkR845gkRT8oZ7nmVZfmFtETZmXxvPsQmxtmb1eE2FdVmxupLxDJEFrgzOrdAYBHSdwe/+zUUulhkrMbahXOHKpMRIUUhBSikjvRISsiRiUy7KwrA2z6uDtiKQ6HpcO3nAZKgBOm/MHeG2RNccGtkjS7U8c85uaU3B03SlxxuPDheeXM+/vb5lyQ0Mjx4iuzmzLU3RFjBiorTh9UwMRpeoQc9PgmdogxchAr7e+JBIcnb1Kj2zAoytClNoHGOQfRglsCn/eMhJigBgYBs+AL/86+f3fEPiKtJRcq3a5eHqQEhbE+bO20Erjpb+wH/zLVleWdaHMDlRIOaHnhBrUsrAuC3X1KRE9O//1sNtzOyV6zwQNwBiAlXBNZXWg01+Jeg2l46/Hxl5nDrdGf1BH11KKzkPddf6H377nf/rdJz69O3CzUw77TI6RgBGjkESx0CEE9qMlEkKgUUkxMaU9IU/OF0XpVeg01raCGClG5kuhNEMilOUz0/NE2CX2u4gOqZC1rsSk5Jy4nFe+fH5mf+jspkxvjfn8SFelmUfK3jtfns5cVpcTXdZCqdWVEYpHp4bRzIWPy2UhZaN2R3iB0ZOWLbz5/Ouo4WpfHOwpkZQiPahH3GD4yJ9gKSJ0dhpAp9ESmRHbDNBpfk26Kx2Y0juspVNLpZmRoguw0YVWcWWNYEgYo1WyEd7tjVzNq0/e2htdjHleOb28UJb39J2XVjkmkihza7TWHMWNgWV1oYYgStdAN2e6eaK7jKo4IHRS0CHXsk3YjLKObbKkj8vo7l3GpI/Z4Bur9w+CiEfW65mVq3P5Jbj2l2tOP90065wvZyqdPO3pGLUsLMtMWVeMM8s6D62YRlkW2lpYa6WdDIKSEHprLLVgxZFbtjZJrfR391dDG8j5aI1sl7/1Nt9eH9do7dPyI+qKDSlHByeki2vYxsB+inz6+IH/y3/8Lb/79pbDLrJLwn4/OaG9GTm78oGlToqZ6bBDcsJQQsyE40TOOzRMnh51R69brZS50orBmC0tbQhYNON8foEAMQm7/VDAQ4gq7HJmmYs7u+cT81rYpUivsJQzazOwQFTvpz0+rwQdgwW9s6x1pGPi4ssE0DAEtIwQJiez9z7GsHCnwmBJNUcrLTDqpkLthRgTQaL3uFtFUyCGRAuR1gtTDLDLfg0NylJptdFrp0uH4Clg7TDPlXleQZWWOvudD8EzIlEzISMQhGlK9Oa86zLkQba6zS104AvmLb/HlxPnZeG2N3IvhBDJUbkslVKrD+Krt9JK68Qhcra1bP2sOOjTzYFI58L3VxLBuH9GH5KZ4rS/UU9vqMem3LDREkXt2hIy2wYzhlbur+1zni5nnyucZ1opLPOZmCZv3rZCm1faulJr5RSeRqEP1tqVEdRaG7P+w9R6HaM6LvcgIkRVSlmHMtmYFhnucVMOsPH/XnZuozYbemsbhuQ3WhzCF2Wo/QkxBHY5c/NJ+T//h9/yP/7DJ24PcZDZlWnKmEEgkneRtixYg/10YNrv6AKlwW53HGr1EQ0J0KGAvw5Fea+dGuJD5eY0PAMus6dZZit5Stx9uGeKEWFhv8/UCqfThct55uk0c3O753Z/JDTj8vLAMg4RdH9Pa1hjpKZGaRuoYfS2OJimgbp2Yhwq+3XMHg4uKGP0qfdG68VR09Q9dpROi5WQM7EJFgJSI5aFGCM9OHCSUuBmv3PApxW0NEcxh2eVoD7fKT6Uv/UEVSCGocQQ00DXfTQra6R3KKVT23o9w9fMyV4dtfc8Zy6XM7XOtCkj0pmSEhZhXlf2OQPmWEgtBHFDbOYTNDLG6V0bqNHw4WzVjqnXzv79FddQH+OD4jOgiURrQ2Qg6Ljerd8O1oUyDFYFj8QbweHXGOfz0wOtd9riNadr5eiVYtVqcSNtzrC4ugr8YV8ZE28g8FdTc26Iio7+3PjK1uuE0S/aIubbkMmf9Yeuder1ffyGdvH9GDFGDscd//jhhv/jf/wtn95NJOmE4IoPqsEb6GFimgKXOmT+93t0l2ilIKbkaaI3wQiIRueUjmaq4X6j2SuHtZkfCA0RNLDWlXUtzGtDpz3x9hZIBM3kydG71YT14ZGH/oKEyH6341jvmR8fECtMSairclkaa2nUUryksIFwm2LE4QgKop5yhZRcpaD6BV6V2s2u6yhar0iv1IGoSqvE3ugxOs96CEGbZX8mIiONV3a7RLHJo7cUujmpAhUiyu1hYpeqV1lD6HZTpdPwddTx1oVcI+b2uhrpcMbbUTidnb9c1pW264TQXdxNhJd5gebZmrXGWisaAybqo4OjJEMFVR9r0zGhso3CiTrSjSim3tPsI/sQXP2iNqVWeR2J2wTddETP5pM9bWhAD+XqX2ecD19+8jcZTdZuDW0OfZsKjeLpaQuu6C12LXadue89IsF5iKIRYhxCUNt4tbjKn7rmrPBqkOBT9te0gG2Gzh/O9mC39Jb+BrlVRSW6LIZ0djnwzf0d/6f/+C2/+e6GgCHWOOTEtNs5L9SU6XAEcUn/3S6yOxyQyCD4O1/YhZCHJEdvYxdIwCQMnRgZVYix1kptnjHUBrUrzSK1dB6fFw77O0x2dGnc3O449M733/2Gf/nhR/7zf/snfvrjF+7ubzlMe6a84+nps7eIRtSzXumt+mDzWAOwuUA25LG363ymhOT1UjOQgntVdd7tUCxotXrKrErDf35PmdY7OYMUN+IYkzvf7rVlzoGpOdsGGqVA7APxERsk+Uiz6is8BitpK1tkE80amZN1Gbp4Wxx644zHFzwrVtpifHk+8XKZORx9J44G5zCHxdP33TTx/uae58uJ1gtZvcXRFs8vw1grYi0i5trHPrq4SdgYZmEQEzrCprjhgag3J4CU1lzpY/Q1vUY16E6UX/+tfPZ/j3HOz8+IDgBweIFXBRWGnqlch2wRQYJ6ayUkTCFeaXhCyBO7w5EUI5jXMNYaObm8poYwoOURX23sQ7m2SrY8afuOwTKxLWl+o9YHPqqjbqj3ceL/8Pt7/qfff0vMRl8bOUVu7+5RhOUyE+KBtJso5eJw/LQn7vf0tg664X4YIbQ+oJeBxrWB+BnVETjr9FrHpqtGrZ117azFU30VYbks/PjlgZwzl1L57buPBIH9IWEZfvzpkeeHzzw8PFFuPe2qBJb1TFsLvbhOkdkG5Y+2gLShbuhb2zyTwcdTrGPioFs3G+5/6Or2cWS69/tsyG/05oR56x16I+72Y3uXOwnrRugu8LzPE+vaObeVdYVSvde9m5xP21ujLKN3EYDsKhBmQh3KBDKGn2OCfc5Ya5TSvjrPrqQ3fm+d1oXHhzPPpxPv7y+u+iiQp8C0Jmd25YmdQKNxuQzaZgv0lCltHco7HhDaCM1Dis4zCgvjeY7ygXKtG61DXb3n2bvSZNxzBvAmoNqGUx3BZQz+/yrjrK36Ihd8PIirJ/Hwn1Imxeitk4FGhRDY7ffk3QEdg7+trdAh5InpeCSnCes+rdHq6kBMCFc2z1XgSUeYZDPY8btrZLWRBjsheRMv3upQVcECJDG+Owa+/3jLzXFHtRVDOd7sOdzcUtdCrcJud0eYAtadLZN3rrnbaYS0R3QaTflBdG7litC5Ts5A7Br0sYGt1U6pUFqn1kJv0KqjjGKNp8cXdvsdKHx5fmI/TWiEm/2e3e2B0+mZ0hsvl5mkoz9HHOsI/ee9HhD3zjZoeJu626Zh07vQ15HmjskQl2ppLppsQ8jMBEav74pGdk85u7mQckq7N7qBI70USFHZ58SzKKWvzGslBNezzWlMa4yor+I8ahvrHxTPABB3rDlGdC/QCy+9U6tdwcLt2q4npBuXS+HpxcXOvHj0lsqkSi0r1jppyIyqOLDmfViXp+z9VQ1RzFHirUfsCi1tBI0hXNf9DPrwuZCyEprziwMOjtqQ3nwVrlPveYIv1fq1aW1OO5+L2x1IaWIT1TXrJI3sj3ek3eSjNLV7jdM7+XBgd3NDVOczluKyGKKRlCaX2cSIKbCugV7Hh95ECt7is56dvaa7b+rN6wjrQGjhtc8q+KhaMriLnd9/fMd337wnTIlWGrsUOd7eEHKmVZ8gSbs9FlwJPU970m6Hz/0FNCcnmTcBZrBCayut+nqA3iq9FPrqKU7pzt5pY0emGNAVuh8c10x1j1zaiRwS1jpBMj/Uy+DZJiRnwlpo1QjRxlqMgF09+4iAKKbqaWoH6WO/CZsUpXNxaWO94QBonMvs9/tVLc9BuW5+nX2kump9rEIo9KkT424kTD4ulsScRDBFjoe983sZWsLBCSZhEnIIbLq6YUw1iRkxKP0KBvZhoEJOgbAoTTapz1er3NhHokJZO49PM+fTmdvjHdYamhwVP5dCqYXd5AElaKC1/qrKsY1ciIF0F9/Gt9JtAUHGYDko2vuQ1dzunwLu9GrZtth5VuPaQjayD7ueVcOIv6Dx9YvGud/vyYcju+M9h/3BIfHquzmlC7vjDdN+h6pS20pZVo+EyRv+U8qYNHSOVFFqdeKCcSBFPwQdo9qMma92897m9nDA2jg4uMdVRnTdWjFvTNl4G1XFCera+d1N5vfff+L+/pZmhaiBw/FI2h08N9JOmm7QnLHWgYAmJcRIqQsSEqJ7Yje6tlfjN29ltNq8Ed1xgxxr6nr3on8bT+tmrzqwMmCxoS07d2Ntq4M2OPOnte680C7QFu9TdpfY8L0wQ66xu+Sic7U3Dd2h/KZjH2nv1zqvj9TXhmIeMFTLgWG4XdRbUAzGj3ltVbv3Bo0ZY+zE8cSFxXwQO4bI3XEiinE5K3X0K5zipwQdrYguw3H4gEKvQ/nBzIcmxFikX0upa9T04/GaTI172Vrn8enE08uZj+9XYpzAOrsUSTEwl4pZIodEihOlNLq4GHbUSO0rPY3SqirWgq8zFCMEiOG19pVNnQx7DSridbKq0q0M5+FZ1baA2Yb6wdaF6Jv6xt9qnClnUkrsdhP7mxuiqpMMlplWqnuSEFxFrkeCRsqqV1TMsqAhEbLR+zr2ILq8QyN7aqwJkzqWlPqnVGWgdK+IIsPwtjTmKjC1NaHGs3orQL2zyjeT8P2HWz5+85G4y9SLb0PO+z0hZVotKBFN2TdnNY/IKSVvuHdQSWgIdNq1Lus4u8XR2OYQfffWQuvmlC3zPmunOkm8bXzNTTupe+0qrtqwto7ZE9NuopYGV4jfI2GrYx2AKEGVKgEdosyIePl4FXQe1VIfAFUfP0mEUVT673Ug5mwMHM8XhU2BbtSV5v1uqJ7Ijr4ykxPnfT8IVFPEhKSBKWcfXyvFwatRJ/pooevzuAxnYFNu7qVTtxIp+irCKURmVYq+tmi+Bu/H+TBYToWH04nLujJNHbFODJEpBpbiDi9En6MNwWmmogG0enpquEymvF2wMIasO1dwyIi0VtDN8EzGSJiMlPdVFeFPd6y+igEwdrL8GuPcTZ4rj+VEMfpKABGhyjKEoQpK8hQMjxDrurC2hVDdS4WYIE0+idAqfV3ost2gTIzdJ8oHrCMiLr47JC8Yf3OtNM2utek1y7nS+Px8RWncZ/jtxzt++7vvOb6/9YOoif2oJU3E2wrm6ZSj3uNd1Bk11p1fKtYQq070HhGwmTuRLVo6cjtUzY2BpnJd0mrbQzLznljvgymibnitM58WJ1+rQOuOaI8avJVGqS4JoxsvVVxxX0x8h415rd0HA8W6p2y+ZCiMg230EMEa26JjESWK15ROOeOKhvo99vfovQwgqYEtHrFSdhVGc0Fvi0aKEIeaXyt1rLx4ZdV0z3gdcByVXgxKTk6R9CF+17g9HIRmE+3ZuKz1TaH5xkDH9a5r4+HphdPlws3hhtxdsWOXIqdZaa2RQiDHwCVEelsJwUkqvTpGgiliCd9ePcTRByF+42ojHoRqH/X8QG+FcCW0j086lAPdiagGXNl+NGH+Oh70bxHfXdhrXVcnvyfXBUpphzVo68Xn5mIhTXGMgDVCcIZIKysWo0fcFJ0Q0Mfq9+Zr2Sx4+vi6LEhH1vcmhdgS12vX+TVKvlVF6OOwKXCTjI/HwMdPN9x+vKNTKXMjxUze36A5+oT/UqEFpHUnstcVM6chluI1oEh0g+qN1orvy2iNWhZaG0bZ7EoG6LYl4Q6ht+YRsrERoh0lla6+SBXBehtAgyF14yd3r9u2IQPzUT2zoYAjTrKWK1dTh5SGp1IuqjWkkQU2rrGYkyR8+dBYsoNPkUh3cCg0dxx9CHddCQsG3ZqvdLC+5aoQE51Ob6sfaGsEzaSklKIYr1q4Jp4OI9sOy7EKMDqoF3t0HXlzcnmUSM6REAUpch327lsEla3scVDs5Xnm5XThw30hbvKXKZJCYO6uXBBTJsQVVo+7QZWqQrU2IqFnedsKBhsO19QgGjJ6nYMjOnjEfnZDTEgdzt1GK8g2faKB3m6sp1+yv1/6yxQTFFcvWOazS12EiIRITJnWKtUqta70NBFDIsRO6JXWXewrlZUw7YgasdipNTicXguSIlFd48ZDv14N7a0w0sYWctKxfmWU22uLpiDsU+PjofP+ELg97sm7PLRZjWk/EaYJCYrVPtgCHVtXOhXDiRXWDGHyMTncGJ3xVOm1+QS8Ca116lop1aNaLY7QbpKK4BHTPTJXSpovxJFr2umpekB6o67F09TWWFuhNhdT7t0X6zjrqrJtnX51vxsnVfAJfsG7++MdBtCjNkSpzBlEYKMt5hFDmqEUqhidMK6xuuGPiNfNr19qc7RTtzStDcod2IhIKSttVrr5NKoEJdj2o9xhKWFgBm5gnlW4xW2MGrWBoo5P+wazv74EeH5ZeXh64dsPF3bTHmJ2YemUWGaPgilF9jnRSqLUgqqXMlvK7fxxw1r0UmKs/0B8DnigQQ4YyhvEHPP2Gt52aZWxIMqBpqEO42eZ18DztxtnTvTWKa2xLDMxZlKa0BwgJ0KNtOLTDC0Uwi6gITi1a3j9tVSIzTmawaixuM5pa17vbcOv1tjUFd2Fe7rwOpK+5f5bHfpaJakK2EgBVXm/Ez7thQ93N9zc3RNTotVCipEcs6+M6K567g3zTluHHKPgD6cZKYHRaMV7srX6bsjSZkrvlOKTHr0ZpTj5vK6FVvvrARubz4LGgdi5zq+q9x8LSjRGGmreYyudhiPArZZBGHc0vPZCqeNgd6eYWdtqcpcQMfAdniJ0aaM/CU2ErjgrJgxAy9c7+Wo/fN+NKVhQYklOrGjFIzoMrq6n80YjtEDVikkj6OQzj61hvSCToFFdbVH9XrskSqBYZxn3TGVMu2TFGixzZSne7zzuEqSAaiLHTAyN0vu15bJZ59sjXtfO4+OJ0+XCu7uG0dFo7FPkVHxkMcdIzplpzb7yIoiLpMeI4viCDxw0dMhxBMnjGelgFXV616H5O4KHMnScO2NJwisvmLHVDP8ZG5Xv1xmnZlrqVPO5zXm+kKaJfXAjDFMiWMXG4LVW9fGxkFyeXhbWVtAaiSEQJJBjZq2eBrbiOkObnMlV10cCIm0U5W/3F+r1KThrTAZiu2X0wm0yPuyNw5TYH2/YH28wjGDirZGg9JG6tLJShyqCXBfHQl0LQfzWtFbdmYx1561UWqnUdYuS41drAxCya2przQUXc4hEUUpztLWNGjKk7HKTpVLqMgYb4kh/PB2uozZtbQOUDDMnuVsf7bzhBGjb0PlGzPbaptpInXXrM4KpjgLADTWoT+FIUOeSqiLRl04hRq9bdBgr8EYT0KovNzI6Vf1anejQkOoEg0giqjL3QS8M0DrMc+N0WREVjnu4j35GFNA+wCNzil+eEgfrVPoQNLPXc8ArSLTxdp9eLjydL3yqhaMZQmPKgTgLc3PcIMYIOcOyOHCkkRaa7yLtzmKTMHSVu1EqA+BZR+k1lPma+fUoBPPNanFMTKk0LxlkECxGaeDg3kYB/BXGqWP0qbXkBPh1YT6fiSmRxdcPxJSxtlDqCuvYlaKRmDpmhVqNUpYROZ0sHmKht0Lv3pgPIRDHigaGONd1FfufJC1bjeLbntygbaR3QYUPR+XDEXY5cPPunv3tLc0WCI18OIDoYHsMTZ35RNTJ05bNuFojpslrSBrSui9kKhWrPjnSikuE1rL1Mf3gBVVP8fCJjGCGL1Zq9LlQ8VqmYk6gVrn20DDxeaY+uE8a3Ultdd5oN1nvPvUx0N5u1VP0OtLNjZ+Kp0+te00nMJgp0EO/IqW9Napu1wIyFlKpDKcaBAh+zd0QKnRvxZReHTFufRAaxFXgR59Sg3qvMipTyJRWEYEUA1NKA+By2Q4lE2Nid1TSbqwriL7jMyqkKZJLIizFe+pvjFLeOG2rxvm08OXhhcunC4f9AVSJIXBIyddEjB4n4v3w3voYAE+u2M7GSPLk07pvnmutj3aea/ma+SrDqJ2uToIPY3V9bErr3k+9zqx0B9ZM7SoG9quMs2FoSKTUKb3QW2WdLyzZFd9TmiBmeqz0tVLLQg2RlDMaA6FmmlSfUCnraKArGjIajd4LrRVqj2hMo4n+ZnWaymgCj/pT4DW13fBbz2lElJud8M1t4vYYmKaJmw/vmW7vMCtYXRFN9NpY5wXoLPOJOhdi9P0erVVqNUjZU8JtPMgc3u/WR0rui52sdTfIEMkoURutujyGDwjUMe1RqWWlrD5it64uGrZsbjP6hrVO9JqU5tqoow7bPrNd01hnIrl4cRvLpLx27htwAYPNM+QXB7nbUAeSuqOLDdCtfzuWxGrwlM1SR0iIBO9Lo4hF6NF7ntavkTpJZDFnLNU+xs9Ko2mlSoAQSRNYURicZ7kR0tiqFoIiMdKiU0BDNUzbGOMaras+WDxvD/SGEb5tr5hL5Dw/nzidz7y7f0cKHQnmggEaaGYE8X2oawi05tFQgxBboGAQ+lBPSPReUAtINN/vooKqj+iZCT060CWqI+J7zS11hJju3YiujGmXK8z564yzlEZKSoxKbpGlFcq6cL4EQpqIIXsDN2VPwaxT2kqwsTwod0JvlAZ1k4tIk4ts9UpbXVPISh28VBkp7ZD4b36Yvv4Ar6DRVk4LPnp0f0i8O05MU2d/vPECXzNhek9bT/R1GZQqoyxnltPZFzBZQNTXz4kEoig6elRbpGKkjk5vCy6MnCIa60h5K6Wao7m40ylrYZ5nSlkp68q8LJRSfbGtjRHd7qmnxEzc7cYuT0ee17pS2vrapunbSNMGMr1JqUft2QeE+Uq1c2TWxNc/mOh1r6RTM2W0SNwh6uhtIqPHG0FS9xo1RswqoSmhqdeXHcYAJHXoCRmNboFaoemCKSRxHVuNQu2es2pw9o+LdXlkkaHkUIfTadZ9DjOFq/PmLxzrr/BB8Qmb55eZp9OF79Y2RuY6U4pkDZxG22mXM0tOtLoOAn+ga/Mt1aMU6KE548qCqzlee51+nxywHeSPobxnwBiIYjRRthiMyOAyq/eff5VxrnV1TxIiU5yQ2llqoy4Ly+VCihM5eboaYqRVn8qPpZLFJ917ci/Uuo82SUgEEV9qqv6AfRhW6U3A9via7+1DvOoCbXC0Y+f6ikziExGf7va8v3Glv5QC8+WZtL5j/+732O4d5flnSv3JSRBLwUrBWqG2GekeKYMa0iu9bSvH5ZoiqkbSlAhJSSNC9LawXi6c1guX8wsvpxfO5xOXy8JlWZkvs4/blUItzZHXVlwWhPEeXXw3535PyHtiyN7GaJ1eoBUbEiNOom+tjykHG5H8FXjotg0Ee6Tr+NCBaBxjWlsWsiHhXit38wPdN2AuOmARRvuLlEF9g5zmRLBOHe4xbayuNihqiOvQSkWr0tUzENTBrrWZt9daY1kKdVnoGDlVdruEhuhECjPX+QkOtCRV9lNk3SV3gu11wPlN0LzWnuezr5iY5wvTbgJz4fApJc61UmphiokpJWpKtLWg1oljiKNao4WO70MJbPs0ZYSINpzguJPXSRR0cNlkZCDbpJBzOP0fmxMs5NemtbUZpTTCUGePU2LFRaXX+cy8GzKEwYGg3uv4N4UUouffcSIPYKO0Bq2Q42jHxMzay7XtUlqijaYtwijE/dBs3mdLaT2d3fRu4WYf+f7dkbvbQOsrqsm5rssznY6mI5JOmAh1PlMvZ+fE9u7OQaOvcRugyRUONKGjhJQIU0QG17TUBVkWLuuJy+WJp8dHvnx55OXpxOn0wmleWctMW5oDSL36ctgxTtRG43r7bBIUWQshL+TsKuVb49/bCDKWpG2tGKF1F0h29K9R2JhLnmptjpzBAOrdp7Grx0us96te6wb0jGzO+aZRaCJoDwQzNPnon0kghEgyp1ii4isZzDV6tiVQ3oSv9OCrJB1FdjQ8htHe0TEB0oUeff5VceIH4j1yE6EHl/s4TAGaS7icz/NVwuTta2sf1rXz8PjMy3Lm2I7E5KLRuyTEi3hpkvJYLRKpUhwkG1MyVvH7btBUr2JcA299bZ+MRoLwOjKpbGluIqhQabQOTqvcyBhvIee/0ThFXYNWizJl3x4We2ftK3VZWS4XsibyLqMxkXqj95XaCmtVku6GDGUaDJhKKU4sj+oG3WrHnCl8HbG6LrcdUyZXJIMtnd1ezryIQbm7u+HduyP7I9QaqA3WpdCWhTY/wV6xviA4+2VdFwd5ekOqELP61rPR1/NeoTNBQkyElH3BkCqlLlgpLJcnnj5/5vPnB778/MLj0zMvTyfOpxPnubDW4g6ijW3IQyayjR6fJwP+qMUEqcaueY8sSHAZz7D1H4P3NaunUD7ErE6mp2E4gNKHMXcZUaXBYn0s73ERq6YeWvoYexNr1y5+sE5SSBLRElA1JHg0vQ4dh0BO0df58aqqJ8Hpd3S7qvaJmVMF+0j1gjKJjhRRmHCpkm6bWmKkm4N7UV1todpY2mAuHJaDXplqG1nlL716g5fThYfTiQ9379jlDlqJycW+1nWltz5Ar+idgV4GA8ifv9P5QHpxZYtBnbqmtVcsBJwm6eBkw67rG7Y5X5+qGY6ou6woFv7q9f+bJIRaPPz7B3DJSELzzcjnM5cQkegNXomZ1hulVtZS0BCJMfm2sdY9neuV1ioqPris0fcXtt5Z2jbFASFEv/ixu8L65qJG1GRQ/VCiBm5zJE8JTYb0wvnlmbo0bm9vseVE643l9DNqhZQnT1laGeCKNxV029Uyms66tXhSHmizM3JsOXM5PfDlx8/88IfPPD4+8uXhmefnF15eZubzyloa62BD9ZE22hjM9lpFR0/SBlkAsgmaJm4/fuDu5p4UnUAwLzNlLZwuC/Z8ott51LUGI9qszSiMnzcQoWawDrlHI1Cs+oq8vjXD/XuDuvyJGmSMpJCp7OJAkLsT/FUaMfuWaz+/kVIrS13QMLR2TJwv3CtRItbFd2L2bQ8m5BSdd2wyljEPJzXKFEXHzxrc3i19HWJbHa+5uZ6Er1+bP0fgci48PD1z/jBzOB4J1gkhMKXApTidNKdMSpElCL06tzuIUsXfzUFMHVu6nQjPhpoPckLvo0Y1vOVlW4sPzBRaGFMpI7KLI+L8dd/yb4yMZReFqt2FuXZEYlAsRlpbXeRrPpNyJmtCttqzNW+Yl3IV2goheK3XfMlM0OBzddE3ZPfi6OcWtV7bC/4INhWEr5YVjdIpBeGQICdHFa0sUAvL+cLz4xcOd+/Jd/f0utBrda83DkRtZQAiHY2jiax+4yQkNGY0upYtFGq5cDk98Pj5C19+fuTL50cenl94fDrx8nLhfFko65jjxBs+ffRkzcJoa7TRp7UxlhV83+m04/bDJ377+3/g07sPxGCUZeZ0dl2hfDojIdANTvMZbB31sFx7Zn0TNx40v9Ial27u+PoAuQZTctxaukJSj65FYUKgCGqVHIfGzyDCi1XMGgWXanHqhrdrUCew9y01CG4h3vLoiCmy7WaRwKa1tP17J500CDKcGd62am74mhztT6rEger/Jd64vvl9r8bj4zPP5xPv7u88hVVhnwPnWVlbJadEGuSZdS0gfWxDE2dJbe/TxvSLjVq9decuv0GMN6E5zIY8raAmRA0uKKYwCppfNMx/0zh30zQ0hGZqq1SBmCIhJ0I36uJN/OVyIsVMCtmJ7AF6XwbzIpA1E2MAi1A8WvnWp3Gzo0+q177xDTee54hUBq/r5V9TCh1IWc7K7c3kUo5SydPE8bDn4fMzj1+e2B8/825KqPmAd1Alholl1LOteZvIYscIxJCRmCFGQtLrsHCrldPjMz//4YEvP514fl45L5XT0jgtjcvaWGpn6UYVga7bEDwINHG016NndcMYUhxJIU17Pn73Pf/+d7/j/v4GemNdLhxOL7w8+5Li0guXOTGXQbNrfqCbQOmuiLCJaMytcSqdpQ7W0HZqX5MPVIQYhBTGcl4Vovi8o6hLYtowBFBaG62M4Awk/3ne8tmmW3rrtBCISfCVBmA9vKrYNSceGNlbEl1hUBM1GCLNN3zjfVLFBgboM6spB+6OO5p1Xs4r1y3Y4/UaTf1nPj1eeHp+pnz6yJT3GEZOwaddykLpdfTgAwShmuG7Rwclf5D1Tc01ohqsq7evhE4MI/uQLStinNPBHQ6ujCDXDGHwo9svjVr/W8tzQ2Q3TVhtlLKy9o50SCHQUqA2oZQZuQRC3iPRU8yY0oD/K7U62htV0RRgNMxbb5ReiRq8Jg2dZnUs4PECRkXp0sd/v6455Zpaec2532XylJBWUYyU3dOfns98+eFHwi5ynCbKMqPiaxkupQyEsWKlQ+6jB+sRnRgGC6RQa2VdVi7nhctl5XJeOc+Vy9L9z8vCvBaWIqzdG+ed0Z5pK3Rh7WMQekAKm3qOj+u41Ml02HH3/pab49GBiDWTgstlOK+3Uy6VdXGQrVYdSOIYOtBIxzifFy7Vo1mIRlQZagPqqwLxGi9KIIuSUN9LGT2l85UW2yB79yxFXfE9xtdarwZz5TlzckEcLbG1G5kx82JAa/SN9EBzNYkhCCdBSDlSmqE0wva+URCLWAzgUOFQBxTyIbKrics80vs/aaVsNSoG87ny/DxzmWf2+wPBFNWJKSesLtTayGOETESgjc3c0ket37zMMW8v9eYgllnz/aR4CyoM73eNnuqayWo2nJm5nm33jNAXPP31mbFfnkrpHQmRNk3U3h3+r5VIIEokRQd6yrowzydCUnR3GPzaxFLdO6y1IHkCiQTtgEtG9FIhe/9No7M0bHibEEat0x0lU7j2+N7ObKoqMQXyWOdupWIVUj6SUuL88sTjgxF3ifzpPa1ceDmfCF3IQTmtC4hSrJLFiFF94VBU+kBCRQRrwjKvnM8XXk6eap5ennh+euD09MxyubCWytKCp0LNWLux1kFDNI8Oyit83m2bmIeEUKtTv6YkHA4TOSb6Gol0dPSD+1pYl4l5zqxlYakr2oU82C4SPUVMtSOayMHlZYK4gavIVXzHs87RKx6op6k5CSBEkg6gZBwyGWoGfXCEMfProrOat222QXSvU6FvA8rdJTh36jiBDNCne/j2VooMOpv4db1Wld5nFlFPdU3GMICN+davz+1GmN9etTYen194Oc/c3bimkSikpL4esDUIxhQSs0aqefXu+KCMXHTMv0pExZ1d0EQU6NIIMlbP29al2hA0R20jzqdtA2f4Sztm/ybjPC0reTeRpkRuhXlx41wxYvTdmy011qVQLicWVbI6shliIlijV3ODGUhnCM5f3HZPaKukGF3yf9CZRANRk49T2UprbbRN5JXWN2rPGNTrhRR9VWHcEziwuzny8fGJn3/+zNPDI603JjVihqfHB/JYqvs8iiMHpzIafLGvp5/eybMmzJeFp8dHHj8/8OXLIw8PDzx8/pnnL0+cLwtzKZxrY5ZIT5HaG5dSmEunmCOa2juhd/ZRmEQG6d9ZOl297XSY9tzsdxwPOzfOKEitaC2wrlgplLWxLI15WSlrQZqNgedGE1e3j8dEc1LQUBcYKOqmQ8rmILZRPa/xY5DrdrgUIjF5ayFqQPDoV3BhMRkIbBUIzUkjOqh2Sh8aQU6kld6xttJzBDIE89R+VIi9Q1kapRUkGM53d4JCW2GthsZKTEJSP7a+1Exe52d5batsBmrmdvXwdOLx+YVP7z+Ss+vR5hTYhcjTeqFaR0PwEmtdqXUFttlYV0cQaU6O78HbPMHvZxeuyoHIIIIwNIYGk802R9xeXc4vbRj7N43zMl/QqMQQ2eUd1o1lXSnNmTQbqNNCo6wrEmZymh3oCS5/X3txtked2aVMxFsr1ouLGdeGqQMiGhMi3gOd8kRPgixGrfLqJXn1OKpj6gGGV912Kboq+fHmhhgzLy+PlFI4Hg58/HhDa5Xn5zNT3PlY3NAbijEjKQ8urF29eO+F8+mR58cvPD488vz5gS8//cTjlyfOpwuXUplbpSAsrfBwmTlVY62ewjT6G1CoMzXlEIRonV1M7PcT+5s933z3ie+/+ejiXsn3e3RL2P7gS4fLgtRCK5W1LKzLnl7r6LrhOED35bpEj1ZWPLW16geosn0ur01FFQl6bY/EGEk5kmNw8asQhhqeq0CIucV3Ebp4LeUK+z48vK2/yDLICeITN806pbuDmrRiV3Q5ITgb7eW8Mq+r95oPSjiASBjKEr4zNERXP4wpczzA2qG9XKj1FeXaavxrets9tX18OnNZZg6HA0onhkROAV2U3hrTGMJAA726ELlJQ6TRgGAZCxWxSmgyxsjaG+2rLaVlEEXGOR07cn01o/Nur9jJr0Vr11YI88xxfyClNEjhRmmV0hqqQhp7OUtfnRi/zORpIoeJoBkLzqG12mjq9UQI4Uo/691rp6xe5xCF3W7i/t0dpo0yz8zzhWWpLLNLTL56HM8hVJXIWKnWjbYWLAV2hwPvP33iy+cvlMvC05dHbnZOzVsuFxebygm6EFMipoTGMJbtDMZNK5Tlwun5xOn5wsvLmaenF16eTyxz8TqzVdZuzCY8zpXHalTzG1+66+fk6LVdDIkgSgweaRpOAn9/c8O3H99xe5icGDBWoQeMHASbEuREz5Fll5iPe+q60LextQ6lOd8zWqAPZNuiOrJqYNW4jtkNpDuOfqovu/XeY4iuqbOJRhvb2FMfHNHR4hh9xzjQc2/YGGk8Y4kuyiVmaDesdqp4H1VVCINH7BMyA50dyoS+GMh7mlMeKyDGc2/SyTFyOOzoCMvaaG3+6qDLVz0WXyb8+PTCZV5orRFiR0L3gKELS20OCvmNYBM431pMobsaiHeVZUz7dFQGgWP0Nzfgsm+0zKHFvIFxjvL6TO7bfTV/s3EKwrw4Yf2w25NTpudOW220SxohKjFFolXWunK5vLhcpnrzPsbk6Gx3pozlgCiEGEa/zWvErkoUJ6Afjke+/eZb0i6wzCcu5zPny8Lz44l57OJorW3tb2cfjakZofihNtC048O33/OHH37i8z//Kw8/f+Zm533f1lYuF2PKmZRctkRjuEpJNmsOXNXCMs+cz2fOl5nL4ouaanW+KyqIOXAUunJ3DCSg9eq5VXBxqX0MTLixqZpvrEIJoux3E7/55nu+ub9jUiEIRDE3UgGJTphOAkmEQ0q8209YOzrzOEL70niaK9IE7UaS4NKkKEWc5K19TJ2MoWFEiJpQcUcrAxAJ6nIbIk6eqNWjQR/qAFabI8IDfg2DHtgoPqO4gUCbyoIJrYsbnBXi5ESEEJO3yKKwC76LJmYv3KbJkVPTRphAW/TNegqYUdX7kZ4J/Dlau7HiRseNDnx5euHh+YmP7+5JOYH5sqYcApdSHLVVFz3v6pvXVAVSpBVDW/FhjBj8EA0QZHNMPj0k1/aW9z11UCuH5Kt0byONCZ5fPZWS08S8LixLIYdMyomUE7U31u6TGU1d+yVFH41pxQXAQsrsrulqQFYnMpe1EuKY8ujVF/CuMJeFpIE0RY7HG96/e8/+mDidA1MOpOzrAfOlOP2tV9a1ehctduZSmS8vviOkCYfDLSlP3BwOfPPhIz//6w+cTjM//fTI8TZD9x0cKUZvOgdXqN+8XxTfdlVbY11WylpZ6xi/6k6U0xi52d3x4e4j7969ZzdlRIzzeuY8n6ir7/hQfEZ0nVfaWsbQtMtPS0q8v3/HP/7+G/7x+w+8vzswTdNYW+j9NLE+tp8pSQORzhSFw5Q4T4njLnOXMnWuWK/UUSsF8ZQ16TY8IKMW9HQx4NnKNmywlQoy2DGuaytIcK2cbh49RGykcwPc8X4BSPFeZXeJzDB6r6V5xNVtp8uq7GJCEVKIbkhB2e+FKY5BdXXgRWzwnzQMPZ+hPhicZVOJb1DvLaiwJVVcgdMO67ny8PTEafYxMlEjRNilwPMqWK2EmMhRmMXbUiF4RpZE6WOaZiSpdOLm41yDtnd8iW6/cpi3OVodJ0Fs6CCH8EbS5lcY5zRNMNLYU5m5CT5iYzk7oWD1nqUGj3pJlWUpzKdn3x8ikLIT4peyuPwGrtdi5hzLtV6c44pv0EoayClzPB7YHzOtX2h1pdbGbpoQwpWb2IaM4i5WRAJ1rayXF3pxjdUgN6QAd7cH0mFi+fzC6XlBFSKDTlfztb+nDPRgUOBMtjlIcTodRtLA/d17Dvt35MM93/z2H/jwzXuOR9ckOr2c+fzzTzw+PnB6fubl5cw8z9iyEOaVulRqhy6RdNjx6dN7/sPvvuV//nff8fvffsO7u1umPHkrslWsFT/YGpCYkOw9xdaMsjaXIy0r0IlBiVVckcEqFsyV6reWhnpapuir8W6pG9seygHQyDYsjGcHRKBT8AkWl1txx0FQ5x8E/zeVPlZu+GynWCe0jvYhilacG2z48AA9DFR0pK2t08qCxEBI7vB683aTG25HoiESHcCKgRL0lZmzGeWb3yNetz4+nTldZt7fNXcE0plyYpoDcy2IRKbksq51XV5bHuqLATGha/CeeBkjY33jeDsQJKJfESFktKLC+BxhYz4NZ/frjDNlZGfU2QGIswiHaSKotzoqnVoaUlygqjWf6F/WhbWunC/PpJjo5u2Uuq5YdZkrxa5T8z7B7wXzw/6GDuToa/ZCiO7dhyq8L8UFUGKahlerVOuspXM+nVhOLyzzTLPKftpxe3fDp0/v+MPLmVIay2XGIgRp9LIMNsdrS2HAbB5BY2K3P3J7DyqZDx8+oSGRUyLvEjG791yWlUuZSTZzCDAHZaYS1hkuM3Vxjq2midvbW27v3/Hbb97z++/f8en9Hd9885HDYY+mSG1+oKWtSDc0TITDHlkrayucLjOPT898/vLA54dHnk8z6+qIbA7Or63dvM5H0PCGAjlQkk4faWd0A1MwGWvpHQW7TrjQXbs2DHKDqbKJVA0ynYNH6NB5dXaNme/pvApIj96vP/IOvTHX0UbJYexwhfXiG+rClB2niK5o13XUzGPcTdW42UX6zQ6zxuky+0q/14/5tuykd+Pl+czT8zPrhw8efICco28Qr3Uss0pMMdOrQ1YhhjEC10ZLx++FSbhKYIpsdeWmN7ShsZ4J+ATa+LfKmDDazvKvME6zhgZ/03VZOdWKVUfT1uqrAZdamJvTkVrzVkutHS4zhCcnMEug2tBo7f7AMKMJg0/pBbyqcjmfKc0FrkKMo8+mr4oBV2X3cE0pUHWK4XLhfDmznmboyny4oOre++awY7fPzM8X1lWhwxT9YGxqbjIWMcl4mkGVnCdinNgf7/jme4DuW7jWhTKfuZxeWNfCellZzjOXlzPn5xP1ckabstvdknfveK8O06dd5O7+yLv7G94dd9ze7tkdDqSdN+fn9YKaEoFg9VVceb7w9OULX37+wucvX3h4OPHw+YGn52eWxRHDKH5gYxq1ZoelO6jVzEsMp46ZYzqh++cZwIR2rvd52IC3QN4YqpizYl6ZWnIt8ESBIMSuRHzIuw5OdO8gAV9KbD4wLn2r0xpiEDW58sFkaO3ebw6jBh5pdhxTNDaUM/ZJ0JtMq04E2fZk/qWXGsyXlafnF+Z15mhHdyzBVRnCvNL6trJhSMD2NrAQT903g/Peio4BBhlznqOutH71ChtR/rXVE3yhsASk2pUj/Dcb58PDZ4zOvK4si4MgJ2QABQbFidSuCuBaKV6XDBreGEAV2+iGbpQ+8iagQ5s0eitD1Cf0L/M8JhPCQBAVHfOhrsXihwpzCpkhlO7tnF4KvS60NdCXhYs1LpcLinE47lkvlXkoZGmHODVaWzFz4WMdUdMYKHCMiPpEDqJQK/X0xLzOnj6XipSV2Cp7EeJuzzHu4MMnn+vz8uSqHCfqzfcQAxqMvlycg9uNy+VCr8Zh2nN73LuRtcbz44/88Q9/4McffuTh4ZGff/7M45cT58uCNCFphrH8x2QzMD/Mc+mcOyzNx++MwW3FeWidNpxfoGsdigxj5MzGsLmNemlE1LCxg/zIX8EXRdHuKXLVPsT0HfhQvHbt4rOeqkIKyi4EGmnQBg2SYiGP822jJnYgbcwKuCQmr1RPww+7mvdiN0u4gkHb9Ymwzo2HxxMv5zO3t/dkbQQJ7HNmigun2ujRpTSDBlopnpKqt1WqjHgcHDQLFkGKg3ziANAW3Z2L4AbdByNL1Ef/GN/bfm1a+/NPP/pQQu/02lwQuvmbuCrAkMmwMZBqNia/t3Uw200JgxSfiNEn2gNCTJEpH8h5cgRMlOPNrQMI28OOo2c6RKj8pm/SmO4AMKU0n2mUoQM0L2dOL5njzS3WjGVZUPWN0mV28nGplSiVuhZ6bfRWhoMYQsvjs4QxcO7MZaHHiZB35J3rIMUQqKEge0fpBmDnaV8bAFBtLGtxIKj49bQ2xIpTIu73o0c4sf9uImlAxbg8PfLDv/wrf/yXf+GnhxNPp5mXl9mjJRBzwiwwLyd+eDyxLJUJuN0Hbm72HNKENajF6N0BtKa+7m5LYY0wvGfHehxxsQ1jFpo4MOWSjkMPx3BwZKSqatsMsUeWYMmvD68zrQ/GjRoM7m6KAQ2JVfzA+vJkJ+FXeY02W4lh5uh5t+491JhGABhSLGo+ivPmNcrNUXt6lHh+nnk5zZSlkmNzdcg0lOWri2anMJHSQq2D4h+EFgLSx17ZIO4gWqCrDZDNI6avFdnQWb8eGxWc6pgGHer/2yLMv9k4X56f3QBHY7Vv0DF8ZfFuJ8NbaXhFCM3hbo07dscbDscb8haBuqFJmdLELu8hePqZ8sTS2qCCeV9Qg7dfdPTHtiU+19QBYW4wdx8Q78XV6R77F8wgJF9etC4LMQphF52p0Yy1FpbiGkhWGz0MWYFR0ivguqyO6hrdSfz7w5B0nHxLWVmvBIk+pk3aWliXsxMaeqWWyrJWliFVsiyFeV2dhDFNpLTn+2+/47CfCKFxeviJf/7P/5X/8l//N/7Lv/zMT49nxCCnhIaESbwOfj8+PfP5xzOldnYKUiIpRPaSkd7RVlyOUTz6beNMDEqcG5h/3QeF+9U4fbIfXHjsuofLgTPGFuy+yYJ7rSEjzSOUsVbCQD1D2pYFudjOtuLC6Orzpr6szWtdtydH0nv39l1vDUlOiXMwT5mCEEWom0FuZ8Nef+9fEObzwtOTi3/t9wcUiFHZ5chpVd9DmhIxZ6Su9Fac+SSuRti7ByFz5gW0IWhulW7bWsB4hY2duujfM5aUulyM1V8yv182zmVdhufxqYRtTR8jtY0pMeWJEJPvh+x9oK2REMJV/kLzxO54y/HmjmnaY9J8Rd5W1w0JjE4noCwXnzTY6FRBNyK2Dg+6OQYbnl8pLbCY1yZjlph1WXl8fOT27p6bwx11qZxenjHrhCCIuNFe5oW1rOx7xcbGKRjzlmbXwegmq3vFbWph2iMhEfdjr5/ZQKErdV1ZDFgjzVaWtXKeZ86XhZfTzHmZmWdvU7XeCdPEx29/xzRlaAtf/vAD//q//q/8p//Hf+L/+f/5J/7rjyeWBodJuX9/ZPfuBosu+b9Ur9fe3yV67c7cmiJn61zOZ5++GavveBPV4VWhKTEOHEPdYKgZ+KiXJ482iBVdAkJFpdIt09XbBQGnUVpbCcPwzCCaQcSpiOrpfIiKhUiv0Fcf49M0lg9vBBUDTAnihPyoASJUGTzfkSb62vuJZa20fnZFvw0UemOk7jpc/OvLwzOn85n7+3vUIiEIuykRzoHSKi06RTWoD2Uj3kmo0nz5b++u4LAJfA0dpA0lZruPNly8CEhg4+iruDBcjH/dBH+5z7nfYc2IEtjtduT9jiDquyZprnA3HZjyxNoqa1lHmqe+5q17ZKqyEaZBgtMBCZ4mO+dQhzymp0iXZaXUAggxZhcllohqGztSXiE5YZvzjFSS11NBhvRl43Keaa1z3B84HPbUWjifTqj5e9YqrOvCMl9o9eir6iS6Jx8ynR5CRqLeuUZuESUml1PcTkNvButCq0Zn8YHntXG5LLy8zLw8n3h6eWFeVuZSWbeFPmtjuptZ68LL0zOnn37gpz/8xM8/v7CcCgcgZUGTcm6d88uFHnweshZHzZGEZgfLFjP6OiRDY/St3CEMh2ZsNCiRTlD8nuGTQAMZclDOHCHtZqB9qJlvtSggjYbCUDZIKcAgV5j53hgAC69OXYMSNREIPkY3aJnamzf5RQf66y0KE3zkKg4J1eijYzoiNKqkfSIvEb2IL+seJ6SP4PY2eDaDpxdftFvK4vKuZr7uMkUuQ+MpqfO2F/WWTwqKVvXJGmuoecvJaFtVAPgQuVkjEPCteaPWZEjMDBDmcLjh0/ff/Drj/P43/zCWjjamacfhcEOKgbUV5nWBDrvdgf20Y7LOUpwb2a26WltSUlKsNHotlGVhTYmdjvUMttGYGr7CzknWSymsa8XF0KKDJ+pLa0UFmrukV6840m7dkdIBwjO9rZi5Mt55XXh+emJKiRSUw5SpxX9WjNHnJueVuhYfdxutGsPGpEH31YXDkyMBic59lZSHg4hAoJbie2dlppbKOi/M88rzZeH5+czT4wun05m1OBFhBYo5seHHhy/8tz/8kfVy5PLwhR+eL5yiIvdHco7ec7ZOGbsmOzpSWxhW6M5ltJ+CbhMlg9qIix5vqxfQzdNvAEofc4ljVlNG68TaMB6lmrffRWQsPHIQzcSwoEzZs44rv96gpTjEqfEgElyTShQCTq53fHCsI9SOpdEHHDzDAC5eLc4WWpxqMVJyWGtjLj7Mf83Y4Ssan8imD2Usl5Wn5xOXeWW/82+M0RcexUVprRJjIseJKBcf19Oxz3MgtmpGcckGpDkBnm4QDSxey5wt4wPfXyPaybsd3333G37z/Xe/zjg/ffiGpcyc57MjseorGrI4QXhZFtZW0d7YjRV6XYSy+g1QE1QCFnHluXXlssxMMY+D5Pqhq7XBo4xEEutSOS+r95g0EYML+GqQISUCb2fgN0i/SCDJdB1tUsyjczfaCufT7GLGUyYHcbkU/wGs1RlHcWp4gLFXYOcKkRsmQ+0+RkLOaD6MiBS8ju2+mapWB5qW08z5+czp6cTL0wuX04VlLb5c11xeZG5GV2X98sB/UuHlm2+4SRP5/e/57vgb7n+3sFxW5nnlPJ+Z5zMvy8K8FF8biA0RLJ+WUN1I20O5fdiF6wVB6J4dSIhIr2xbnGWIbm1KFK9AjLfVfHrPObFDRNOBSwbCK+ZMMcu02sAKIQfi/kAxoy4XgnrfULNzmdn2mppr1EIFdVWM2qGOlDLHSEpGr+aiaW2lipByJkTHN4J4ZN1WW1wt9M3LR9qMulS+PL5wOp24v7kjqAN+05TYXxIvZabGSEyRlJITLvDZYTOlEZFWXLLFlMbGDHIOQJQw+sCbh3BvJRo4Hm74/je/5dtvv+Pd/f2vM86oQtjtUBXO59kX9TQjp8Q0+RKfUhtLWX2YOio5JdpYVIQZUXy1HCq+MnBdmNOMTvuryHRonW2+ScRotTDPC9LHLsXguzKdlA1ShqcerP/tKaxEdrpnijtoKzI52XqtDWszdamsZqxLYjdNfviIhNCxoZIwTROaYWv0dXwTl1yftW/Q2oAx7zvLEPAqvp1sdenQ+XThdDrx8vLM6fmZ+XRxZBjv8TaDAqxmtC7kCqUq6XDLx48fOaQdGl1CsiyNy2Xm5fTMw9MzT48nnh++8HI6eS9T1NsM1XvONsKGSr9eO4Osvu2a0Q6ufudpVm++5KgH0EHM8BzFa9tt1lZHS0PFI7JPQTXovvcmSsZspVsnZiFMTpe0cnFlPXxgW9XXGi5lgDzq1xuCUopxvlQuc0FU2OXG3W0mmDOB1tl5zUGa0xpj5O4w0Wvj4eXis8LjMV7pqyN9Fpxh9fJ85uV8otbVhdDNyDG4yHhxYC8GV16UWkbG8UrxNNExpeM4hSsz9lEVNFBfa9/NNYcF4Xg48P33v+H7777n/u7eS7xfY5xLWZmmHftpj7XOZfHIJ+K1xX6agNUFvWRmkokUlJ6dFdR6A/G9ETF5CktZWZcLQQP7vPcaIjiI0nonaGcthZfzmbVW0rQnhHydzHfpyq3qfnWL7uEDJe5J6UBoF5J1SjQnCMwnlqczfWmYKPl44HA8kvMEUZhL47IUdrPrHkkctcor9jT+L3ikaSttrKMzcZnFtaws5xOn50denh55fn7k5fTsRIXzmbJ6KmtXoHlsKeuNri7CPC+NIpG4P7LfT87EKhW1GStCC0qJSk/QcqDVRMCZRyKB1irrurKuBWsVqf1qjFv7aYi8DI6s95DBBa4xVwYShjSJDtV5G6XEICmoGWHIrpgxpnBeR8Zqb0gULI2lw2NtgQYZm88jooE2tHhC66P3F65D7qWt7ljxrH1tyiFPxF1kGqCfhuC6vEk4aqSxYxlkmD9rIb5B9zE4X2Yen8ei3X13tmwUDlPmeV5o1VNb00DBF0enGDFRV+3YtINtaEXZiJDdtZZHQ865wCocb+747fe/47vvvuX+/t0vGua/bZzrStTIlDO7aUfvnaUWLgVE92Mezovl0jpaG1OO5JgwM+Z18faLjkFefO1eWxbmkRqmQSyQsa+iBjfO58viO01ECEGdkDBYITKK76+nyN0jFjI1HhF9JutCioJQoTXKvDB/ObFeCkwTu/d33Nwc2e0S67GBJvZxImRvilvoqDkxYoOfTHyShupgR8UR3LoW1lK4nC9cnp65vLxwvpy5nGfmy8UJEluPcFxr7831bLtPezSpLGWh1E4P6kuXxkrAuiyUeWadZ8plZr2cqfNML6O5TSXkQMgRbQ1l9YU8Q2xKdUtXceKGRETNVzOMqNibj1Z5FrPxbr2Nse2g3O5FG5ED89pfB2VNgS6OoGtwxXkb+1jBvN7Mjhw3VZ+9Tb6BreGZk6qxy0o/RNIQ+8opkEPy/qJ4LQ0bkUVAOhYChG3nziZd+ca38nXbr6yNx6cT58uFm5vboV+krqoRAqda6AGfT1alrp009HOrDooe3ppCvCaWLi5MHrme1RQyx+Md3377Hd999z23N3dj0OLNhf2txrm2iqzzIAFEpt3EenbPrBrZT4GYE9m6awzVigYf1M0xjSb76nspUKIEmjiRXpaVHgq2d8W2bVO183ML5/PFiQ3Im8g5tkxvehA4nc/RWkHElexauiNPZ6SefNIlRM//rTp7aBkpephYLpWclNu7Qlk7Ey6erZJQIhbMD6ptDXZXZ6AFbwd1fN/osrKshfk8M5/OzOcLy3lmns/OrmrtKqkho8Feu1EHWdu8kUwvlfl8oawLNSuhNNo8++jcfGJdZtqy0ovvY5niOCCAlAVbGnZeSaUQMVwZ31sfnseKo4k6NnCLOxxPvXyJU7NOxNsjkcF8Yaj2bcpyAKqDjDIkTPEpFmWMVckgC5p6b1QFjS4nk0KkSyBGYzd5hG2tXVk9QYSwnzjsvIUTMNfxNaPjRPTtXrohBqrhWVxtbNJZwmtaa7wSERCj1+7KfC8n3t2vpLhDYiClyC5GztUXAScV0hC3tr6BVH4Wu/dF0L6hIA1Vj8Cijjrf3d3zzafv+Oabb7m9ubsOBVwv8NcYZ86ZpRSYLxx3O3LM7A/GfLmwritRlH2e2MdMt04plbksqEy+cjynwbmthG5Odg+g3bf+ntYLPSpTziNd9YddS+Xx+ZlSXSYkxuwgTAjE4Rm7tEETeIXoGR676IHd/gOJCzEIa23EhzSU5H3tw3S85/23/w6kcD498fTwzNPpzPPzGVT4/vv3o60yvK1y3QtSfYc82yq+Wirr4vza9bxweT4xv5xYzmfWeWEtvt9SdbRb8HT4unTInGPZOpTzzOPPP/Pw+Z7UCrYurM8vXF5eWE8X1vNCOc3YywtxbU6cML+uju8Wseb6R4QJU1jqzLKsKL5QqPTZgZ/RhuhSxx5PsFrJY6lQEHElNBEn4OPkE++tG6Ft84tbTeo1qHY3duhsa9i31YJ5yuySP8+x28elQMyFsmttVzEyExlOw3WN1XSosyvS43Xrm6qg2dttUV0wWnVbIc9XEeoqfYx/ppfnC49PJ777tHI8jOHxqExTQheodSWniSlGWopY93UNFiLFRm0uAxAa9El/S0fLb+/e8Zvf/JZvPn5ycbEQrt7il/SD/k3j3O33vq6grCyq7Hc7csj0ZN4bLKsbYYxMZKx1l9CQgEwebS0aF/NVDEmUMISbFyvUqqzruJljptBQaqucTieW1XVctgl9jR41g3rT9/U1cn023m+ghAN6+MDhkBANPD28MD++MOcJCY397S3fffuBkDs//dD58tNPLM8zz19efLPabsd3n3ZjFMqX35oYta1D/2iMTbVGL47MrsvKMs/M8zzuT/EUtQ/ejeDsmM5YPDSI5IMsrYC1ldNPP/IvWakf3xG7Uc9nlhc3+Pll5nIpHnGb0OmU7qltzQnLO2oQHspCp7L2xo/nF35+Po35zcBaKtGMgwpTEmIwpoGIT0DaT04qCK7MjwZfM99Hb8QEK4DUAYSM/qmCRMbC5YIGcy2okenEIOz2EzFPzk1tQB+g4lpdo6p1YoDj3nWcytIo5xnpRj4kQhCCJFfhQ6jdnV0wIwbY75S7mx29V+azK7pfRzCv/xnkEoNSOl9eXjhfLtzdNcYeKfKUmGLivMwQjRwiF/H7LT2gA6NuptcFTtsAhW+xjtzevee73/yGT5++8fnRK+V0g6V++fWLxrmPCfZ7Xs5nLutC1MCUMzJN0DtLKcxldRAg+t/Ny8LSCtKUKSZyiLSeWepMASLO4I8d3xS9rpQQ0d3eqV24WvjL6ZnTvLo26JDP1DHdrzq0gr5iC72+BKFYoqcjeVLuY6QuDSmdunbK2eckA41gDVtn+vmCLZ1a4H/7L/9fNCVyjnz6JkLIEBUZiLINHmhr7bpMt6xOnFjrkNGs1dspZfCRN10QfA6y4Yjz1qw36URxNk17eebH/7Zw+fIzR52o68xyWTgv1RfwKITdhOZM68bj+UQpxdNJMS5L558+P3A+L9TWmZvr92x3KhrcMOYvR4s+qBF6hzj24qQwRrW2fS06Dp8bgwaPllsoUkCDgbrCfOlGikqT7koJpqScmHYTGiNNPA3seKq4lM6y2hBsdvaN4wwONjntzyMiDOGtqISQB5IPEmCalPccoBs/rc0J/6+2+Vp74q027eKyM+cTtRUyE4KwS4ldSpyWC0trvvnaAktdKOrDAuC0xzZWWG8ZTEqR9++/5be/+Q0fP35wzSJ5Ey3tNWr+ksjXLxpnN2OaJpoZl7OLI6kIISV2+x2ld69Lq3IUn97vqXMpK2VZCfhOiykm1woq3kbwyQwdW7RWVvX9nFPUkd4K82Xm5Xymj/5V2BYjDfV498ZcSfAirxkMePScW6DLxPEmIb9xjuNSOsulcjnNPH154HC7g7HpC3zv5PJw4j//L//EzeGG/c09N8nZK7SxKsi8zmyluPGV6jIppVDGWvNSK2XxfSzCmwHz3n1Vn20q9t3BJ9zhmMFSK8tz5fnlwrkYl1awEJhNeFgWusBxtxJEeJkLD/PMstahoeTp8WL9Sl8VIJtr/SSBgyp3KTJNiZR9LZ9LpwwWTHLiB8H1gn12ceC8qkizsSIvIt0I5gJmGgNt1LJOZbQxxB2QCGnKxJTRECmtX5fHhhhICUpdsQZxMJpSDISDy+CYma8jjK54DxDi2GUiYxu3dNeiCpB0U3X483N9lc4UsN45v5z48vTAd/M3TNPe1QtDYJ8yQZVWCzkkwlgvsVolS/K0GweIbIBTeTrw8eN7fv/b7/j04QO73TRKo404o2+i+C8jQr9onPO6sp8mdjl7q2BZuNSVw9gqtttNzLMfwBX3jCkmivWxSr0Qw4QGJaWxjqF3onl6a8KIPiu1uMaqqMtU1lo5Xy703lyBfGO9BHFerI4J9C1RMdkCEww5w1P//5H2Zz26rmmeH/S7p2d4pxjXtOedubMysypr6MqieqDdRjb4oN1CSEgIbCEO+ACID8A5EpzDgSUECA4skDA2EnZDC2y63VWmqe6qrq7KymlPa4oV0zs80z1ycD1vrLWr3GXXdqQiY+21Y60dEe9z3dd1/6//YNhOHtsoqkXD2eUpJYJRjtdfXrG/u6eUDRiHqts5NChSRrCuIeqaPinanCTGduaKiqpgTraOwhM+RtDn9M33MmelFKMpyggIVI6x8IJQJpXJsTD5QhcS2xCZsjgM7KbEECJai7wozw++Nd1se8lc6G8ZMVbDssiL6xCLjcoanDI0zlBXFl1btDtylsXdXWUx31LmKA9Ts48PglprBTmJ63kusiPWiTw7vWtrSUU6idFFJgFmiZxzLJoFlatFrJ1EXngkLmwWhtohidNKUbs5BlKLIomSBcDKR6KEQeUkBmpReKy5ErpcDMdViqxnvrFTmXedzL9dSiGMmftDTz94Nuv8gEDX1mGNI0RPNgpl9UOxCtdXDqsyhxk0VnN5ds7jR4+4vDihrmt5nt9K2Hm4ACthnoXov11x9uOALYq6qWmbt6sUjWKhNE1VQy5yz4qeMkurGlcxZUFlTZwTqayTzjVN8tDOxGWjZm/aaAlJRglrRIGwHwZSLKhaSMJq1nRaa1FqekDfjp3ziN6CFFDImvtDhqTYtA7dNGwu19i6YrFacfXyFpRluVxgqgVTKCRlaDenXDw94/RsQcgTd7vAo/UCa2SHI0ndAgClWVeYsjiwpSL2lHnORqFIOIJMPGr+95IjE0Okj4XDFNlNgf2YuM/QH31Yy1ssQ5Gw8wumAZcKFjWTPBTS6MQuxmo9o9QyBtoZTNNWuhtO7s969mPVWlBQlaQ4zYxQa2WEOaPnNVIWhNho8+COUGYqpbZajLCmTqRpMzvJGodzlnZRUVkreIHWZCQESCk7G4yBVZboZwpekigPOQ8kXyfFudg0GJMging69hNGK9yqom4b8SYqGlc0nuP6St4eQJgi31Mqwjraz9GNMZ7hnIQrVbVjWTUMk6TRSY5nhS+ZosUZPxtNVgVXNVyen/Hs0SNONxsJ1ZqN0uTJLA8kG9Czwmai7/pvV5wpJbppECZGZWmbmjwkcblTikXTUlcVkUyY93xGaSptwDn64MXtXYO1BldVUjQ+CkfSGHTJcv9KkRQmsnVgHEVndv2IT4EFtXBsjaxjtJnJxPJdv/P2zoswn65TMtwOiaItC7NA1QEbI48/fMTm8gw/KUwlRtIJYbMslxWgiZPnsN0xpsTSGlaLev65yNjq/SRdw8oifA7kkoPHOLSrwEyknEhR7pUi79EkDV2I3PSR/ZjwUYq6RpDKyLw7K8J1dVpTF6i0otbi5udmMM4eI/HmYkQJowqD3MeULMKNFtvJfNTF6rf/vpQoHsVKRlyj7fznZtsNJYJjVY5J2TyYbRUK2lmKUTKaItEE2hhsZahqJyybWbObUiFMgRKjTEBFfGNjH/DDRCkZXWlcUwGKEGRVlWdGkxbLB7mDIpYo8nF2cKwUq0XDECK+6/Eh/4UnRDTJsibKudDtRnaHjuA9TdOCKphK0VQWrQUIbEwjznzAFANVJd9TYyyXpxuePHrE6ckJlbPM0h5klFUPU4BkqyYmP9J1ew6Hw7crzrquCeNEPw4szYLaWkrT0OUeHzzGWCrnaG2FDpmQJARXzVmWVRb2S4wRq+YfnrEknR7YKEfAIadE8hOTUkBLjoHbuztCkLYvgICaRddyKuf0Dcj2bQeVJZysZpRmiomb3jAZR8MSTKakiWZtWZ7VmKpG20rWAiBL85gwc3BQd7/lzhSqxxeUkpjiSMxBXOEKApbMd0rmxb2xGmVnCwRkDVN0kT2wgiplrA44LcQNY6A5Ep/msWteEqG1qHxqY6iM7JCPmZJ6JpArI9OFVvYt3Y48AxHzQFUgq0x+CIeSriknuoS8GiQSQhvJiilGzbdh+Wv0LKU7AkmyJimYyjFlzziNAFSuoq4lLcBWIr1yxlGKYhwC3X0n9L7aobWDlIg+EcYgMrU0L/Bd/UCRLLMO1RQlAKFRtMuaUsnfaxs124hqaipWtHQpENJb3eQR15fnRfakuSj8GLnf9wzTxCJn8V1SmqYSULNPiaKKRBZqQyqBgmLZLjhbr3h0fsLJyVrMBDj6RqijuEeexyI+Rn7q2R/27A/9Xwhh+i9dnMu2Zcqi6+yHgUUjEQGpaRjHicGPKA21dqiqIk8TMXjM/OJU1pK8xM1PKWMrN5sTSyhvDF4MiZG7RtYK2/eMlYAB1y9fiGVJLvOu02JMELtC/c2b/nG8LbLrlp2nNmTtxF08aXw02GSoWMxMpR2aA0qJYFczn2wJDI5V3bKsHckZdtd3VChcbRiGgThlQkioSlwDUbMkTsm9RM1EfWUVxUuh5CJcS2dqKltom8CyFEy2pCN5fK4CpRSmgJknBWeMoN/W0TphbJnKzuiqomosSluR6fmAD+KrG9O8dikio5v9K+bohCwnOgXmsXg+0ua7qOyG1TyOHV87KPMsLCRy5QzGWXZ39/R+onGGtrU0bSXgkjY4V2GNY/KZ4TARRnHXA0PRSqYNO6cExDzbrohEzhhFq5UEMM/L/1n5jqkgO4mpVzrLfXY+iRQicj5a+pTjCTUD53Nfm8fzxG67Y3/oOdlEKiuuf42zLKqGPgSKAuckc3bygdpaHl+ccHl6ynLZ4pzjrTxMz0aG88+rKGL0DOPAfr+n73uMrViv19+uOC2g2pqIUOqsMrRNzcJVkDKTF4Nl7cpDzsY0RkFrnRhzlZAYw8QYE8XO9vx+Tn2eszLVEQmcRwBrNUY7Xl+9pO96sYacsz/V3DWFZZEeivKbbzOgodUs4o4ULFPWdNOAzZC8xh8yNgSsmoNhlcYqS6UF7FotVxJNUNXcvL5mtzugLXJvjvITatsWbR06y32uBDU7oc9iWldjXSZnL/EISWD4ylqauqLNCpVmPqkuQlBQGorACFaJMqKpalbNgtV6xXq9YrVscdXx9NezciLj/UTXDxwGUb9MPs1GUupB8ibgWUERZX/MsdZm6EJLrJ1kYJa5SRrxoU2ZbDLq2BuUwlaOgGcY91RKsWgb6sah7Lw2MxZna7JW+HliqioL1go5QRWUtTRLRXZOeNZKuLmRIuN0pVFm5vIeX2ElIFb2hRCy/LcaB1aTQ4EpoXOeucMzgvywwpjv0bydHvq+Z9ftmaaJtmnkIHWOtq6x00jMoqixVU3dGB6fbrg4lUQ4Y47lL3fMtyR5GZtTmBj7A/e7LT4knKs5OTlhuVx+u+L0wc8AjyOlyDD2UBK1s6ILTIF+GvCzeXTJmXGaJM4759n5Ti7zKiZ8mePDM6Q8KxFgtq+Y2SVK460o++9vbth1hxn9MyK4VrPn6lH79+7+6J2PD0VqLMrOekKtybFh102oqOi9IowyvhjtuFi2fHB6wmnbsmgbFsuFJG7ZhhgKb16+pNsNjDFjbc1i3eCqRu7ORoyCjZbR27qKqoE6HkEiuXdmVShK6G7WWOpKENdUJHuEdzqW0bKGqtsF55eXPH3ymMvzMxaNRhVPCB1+8A+KhxjBVhZdagGcfJB7mSpkLQ+nnh3HtM6A7BHtXGRFg1JJWDJa3AHKbHlJyXLIKR4eQK1k7aIt3HU9qUSWbTWT2oWx44yjahqK0/iY8QVoaqwxApMZNf9dCu3E5SCpTImRNK9sjM74BP0YmbxHmyIHm9XEkOk6z9hL7upiXVMtG7TRVLWlqTV90EKfnKc0zcwvlpoU5BTN1Ad2uy2j78llhcbK6FzV1NYxeE9jDRebDeuF5XK9YLFqZ42mfnu3nA8OkK4d/UTf7dnuOnxMtG3L6ckpi8XMGPo2xbnd7agrcRdIs61G1+0eSAAhBoL3lDgjYkrAkhSP7tdiRaKydJNY8hzmM0P/825SkpUt1pgZNtdYXREj7LuJVApO21k6JuijdQ6tp3eEwn+uOI9okRbVvJoj2Vy7JISMD4miG3z2jElWHXGEdgy0bcvSzX65KGxlqRcOYzJjt2WIhmZdY2rhYh4pp9pojDOk2mGVoVZy8mct5sX0kjGT5+7viqIuenZUF/6pNpqqcrTtktX6hIuLRzx6fMnjp+dsVhU6J8Lg8aFg1IJKV2gEZBknAZ+0lrjCo3EZWqxJZUd7JA3IUl3WbrKrO3ZhPY/S6DIDQrMjQZpHtTK7FVhNrjT9NNDd7zBFgZ3d+IoAS1VTgzMMKeOnRAhJ0OwkqwRpyvJgh5Tpx4ngRS5Y5jtuqjRjiNzvBsYxonVh0Sb0usapeYyc7TNRiLTNKap1w6k2+NKxPRxQ+V0htnTRo5635Ez0ke3dnq7rSacFZ6WrNrVlUTvG5Glqx9liyWZZUddOprN3NgSCys73yyR2NbvdjkM3UFCsVytOTk5k4tIzSf/bFOfd9kbEpEoAGx+jdIBSsJkHP1PpgjKuCMNTxh+FjGmi25RBX154O8fMSVhOnpkyzjkJkrGiQLC1pRsHUpo5mnrOYFFqHiP+4tvDmHv8qCxoA1ECUK1xNIslIQxEBNs4eu3uteZ+mmjGjqgm1oOl0Ro/9mxv3tBvb+n7joEGPe/QlBVSfDYWNYfXGldwOZCy7H6r1JBCIPle1khJ8jKMMlRWoXISpT+aql1x/ugxT997xtNnjzg7OWG5qHHOyM40gGlrmqYi2Ik4TpSU8WEixUQcR/wwEPsDaRD7zgc2jNKIm9ZsvKZ4YC6pMl/H5tdKmwcYaF5ZadBWwBqQK4uxhBS5P+wYfQ8lE0TGO7/mkgww9SNdtqioKKGQh8h4GIg54NqKZiU0yWMsxJFcUmZWhhAZ9AMCzTxVoCVCcbnQ1E54d6bWWFshSWSgMaxGz2FQlDT/nczdrRwL8y1feBhGuq7Dh0Dd1ECZPYoaMoXTtuFkVVPNTUsd9+vvjLEU8fidppHDfkfXDyjt2KxXrNdr6roSdF0dzeq+RXF22+38sAtfsOSjs1xhPDJA5k6V5gPAWEc1R/0dT5GqbmibSgjCRS70VVVRVxUUSXzOKckIY453ChGyHvZ7MVhaLWavV4WxGmOl+4iS4V/2DR5HZSvE7lmRUDcLSj4XJLrvoQyQMuPk2U2W0ywqCSqFrWui8gwlcxczr0NkSCPRT5yR2WgHFLQr6GTQoUKHIn5HymBNoLIQrJYI+6QE8CjS0QwCxCSlaZYbnn7wId/53ic8eXrOoq2pjAAfKc++SVbWMGHypOxJw8DYjUxdTz8O9OPIYRgYxoHJRwkfRogJ0hmz3B+Pqyyt5zvu/NBqeYCPKO9xR5iKaBYTc4CRFmHx7nDPdntPyRFdihh2qULBEFPG9xM+THTZYk2NLaJ9HUZPnLEEYoFKwJZFabBGIiVKFlMvqy2rWmNPl0wxolTGVRVWz2OkVVTN7O2jCmb+HlKGkBUh8w7YVt6Kr+d10HGhrBSMo+duv2UYe9l/a3DOcLZasKoddWWoqmMsop4Bs7fPX86JnCLDIM7y4+SpqpqTzQmr5QrrjoU5FzPfsjijj8I+mXF3a+1sbTnHn2lDWzdUVUUWnB5rLYumxVQVoUTwEvizaBrxd82FMU1YJQWq0Zg5JUy0nzJiUSAEz367Z5q8XLBn5ooxGmecSHa+yYB/+zafZiCeo6ZochZtoDaWerGkXZ/S93vC1M1UPFmPrBctF5crFg5hzFQti26F26+J+45pSmx9z123Y7NoqSo5eDAG5ZwInHNCxxlwOS7j65akLMkHiAmKHDJGG1yz5OK9Z3z0yYe89/SUxdJhDRJQm5U4HMR3qILDyLg70N13DN3AOA6M3tP7wDCJUVjOCUM1d06xjkTNKPIRWDP2Afks8CAfO3oOpfm9MPNIkYzPcnShv7+h+EmsOZzkZwr+gEgLjWHyRbyHlENZi1tULMqSkrI4NVoHyNfVto7KaUKMxJRm5DijTGFZO5ooxnGF+Xo04zCliGA/lyiofyWeTqkYfNYUZsNp3q5TjjERSqmHw2gaA3d3O/qhI8czisR1UteWysnXKI/XTHhRIt6Xjikp733fsT/0pJRom5aT01MW7QJr3bwS1HNxv11z/ZWLs1mscNbOL04RxHC5xFjLFD0xF5q6YVkvUFoRvMSoVdbRNK3kLE6ekKTIjbZoUyha7BBTSJhK9nYo8CHMu6z5GMuF+92O0U8SmKTsrJGb1xXHMYIjgVg9/J5cOY9gg6OogNFHRC1jraVuF9TtisN+C3h0mlDR4+wcX9g4dA7kfCBMEzlGGqsJOZOi53a7ZdU2XKxPqbTD6opsIdqESVpiBePRMR5c0RTtUGrCm0RGo5zD1RWrzQlPHp2yWRhxIU8S51dynkN8xAc3+EAYPb4fRJY2dkx+kliMGPDJyz1fWyo7B+qoo6UIKG3n4CHx29FWkwyQ3xLRdREHuZkpKB5MBUJK8x16th3d3817zVkXqrVcVcps3IaQH5ydLU+OYmiraStNSUXQYysZOBah9CU0YwDvI0YrmsphjRb6Z0ykIKsPrBASRM1TSGMgJk9wFY0qaFswVgmH2ChGxcNBdTSFOz5qKGav4cL+fqDrDvjksapG54RWb10gHhLWj3+eIuluIbDbyRhbCiwWC9brDW3bzoU5SxD1ERuRZ/FbFef540es6haMZgwelaFtGxZVQy6J/TgI9G81C9eQnaObIeeYohjz1g05DIQU0XnCuQqHJVmJ1wspiUZzJrTn2f5fxNeZ7faefhxk92gcSlvUfJoZY2bh98x4mX/Kxx9geeenLyeWvDiRDFjqqsE0C1S9pAw9pCSnr0oo7TCmJoaBvjvQ73eMhz0qSZGiHDErOj/Sxg7cUv5TWojcOdeYrNChYJ0iZ41TUHSUu1GKoAy2bnBNzWrRUjvQJZC8l8mk6IcxKcwxhNEn/OAJw0QMErRTUMSUidGTo2SQWJQg1cxDxJG8MbtOKGfmffEce1/yQ+p1Lsw8Xtk/x5yJSbSiCcUUPPvhnsNweNjLxpDmu6a4KsaUWC4aTFVhYxBjrCNlU1vZR5q5+FXBmtmsPERGH7nfT3TDhLOak1WRO19W+CkTDuKwYWqDax3azTvSpkJHSOqo9M1UVnO2dBTfcJvE0DuVt75Kx315mXm7oOgHL01h6lksljw4pD2Mr+XhegCFGCNhGtnvd/TDiDKGk5MT1uuV3E3nbYT5c77PR6rptyrOqq4wlYyyrqoYpokpi8yqMYZl09DPYbJWScp1XVViQxI8RovxUuUcYxFertIaZyrhYRZZksuoJeyhUMRQWE4URTcM9P0oC3ze5klq/fbe+e6bfNPvjB7zHUNpgyoJoxSpzDxRZk9XV6GqluwnptmXNuTI/d7jd3fc395zv93S7fd0/cA0ZUplWK7jHBoU6PwekqZS8wlp9Cz8tSRXsPkYYyCnbkqC1Jk5Xl7rIuTuGAl+hOIwZfYYioEweWKQzhFTnBOqjmT/BClRggRFMVP+zNHvB9m5mhlAUcZgnHlAVSllTsIW47KSJRkr5sI0g2UxRXwJjFEsUH2QtVqZebeSSiU/da0NOpdZgyt746wb2tMnbE7O2axPcKamFBgmT4weRWbsd/TdDqt2pCAOBKnIaHukv2GEG6yLdEVjtEQjzlMAuSYTyWk2mDOK1aqCvKQfRvFW4p3CLG+NoMt87w4+sL3fM/YDZZNQxglopvRDUclgJ1jJMAwcDnL9ss6xXm9Yr08kb8Uc7V4KD1S+WdurVP72gJDWhjEEoekZA3VF70cGP0pWiKsoKPppZAoeNFKgWXZCQwwUpXDGgHUPkiqnDEZJcKqP4sHa6FqEvdbiZ22cQQnidejJKWOdw2i5nwj17Ih4vVuUb2/770pyijaoIgtpASUg5RlJthXYBjKEojkME4ddRxg6hvtr9rf33N9u2e33HDrPmIBi2fcHhmnNujFA4jBMWGqW9VpeSG0xNmFzJmcj6xQFhJl+SEFbIW8oJI8m+MBkZxVGQX5vthVNPsxEBrEGOSaGJRK5BCgSHsQR/IEHyqRVImpXVmh5xzzMnDORPP8deXYyTzPtMuFDYprEYbGLA1OQcF5Flk6MsJ6OMQMPLonHfJzFOU/e+5hPP/4+H3/0PZZ1y+R7dvsb+t0dsT9gSkulIYUFyZ/g57S46AM+RqaZYXbwkbt+ZD9MDJMX9FbLXfhItC8FTMnErMlK4+Zx3h7vhfPm4/isHN0ogLcfc+Fuu2fbdVzGQFU386ZBUtpAkVMkxUA/CCc3xiz3y5MNbds8BHC9Leg//y4b17+se/6lxblul+ynnv00sGpaKm0prqX3nsFHDIbKVkRgmgbGacI0Yo+JUozB4/2EqSoqZUEXxugZ/EBd1XLvKYUQBRCqrJ0BHzOHs0IYB3a7HSkm9EyAl9GIB8sSjsPdN8aOd7R882mli/BzUeJvk7ISQr6ZI9qtxZfM8zc78jSg00B/f8Pu+g13N3ccDj2Th1g0xYjPkY8ZYyuWrWbyIy9fvWBRbzhZbHDO4YqDOQIPrSkq4YrGqCAhs0rMk6FQZq9bb4S/qpXcreIMAuUYZaecJHslzQoZYoCcRGCgeBACS/csGCP+O+YIaMwPdKaAmi09s7jJhSxXjRBgmhLdOHIYJ3o/0M/ZqujC+WMHU2Hw8j1YJY4JtllhXMtiseLTT3/Aj3/8t/nuZz9g0dZ0ty+5evFLpvsrzvPEBzWYRvaoKc3OhLkiRUtKy3nFFRnnvXQ3TRy8Z9+N3HY9+xBnSd2Ej5KcTclUG8OisWQDKRbikDCxoV4ssKMoikoRbnCe0aS5VuRwK4puP7K93zM9GVkulnO3UzBPXdM00fUdXT9SgPVqxWazom4aEWiYeTn2oCs9FqP+RnHCvwTQ/C8qTudqFsB+OND7CWVbYXxUMPmBIUKjahpXzc4IniF4mqqWtOGsRaEfNPUsstWz7UlRkj0BghD6GN/S9MQAQnJAppHdYUdMAksdlRdCj5OdXHpH1/nuW3nQXWm0LqgiFv+y8xMZVV3V1LXYX5ClU+36HusjZtozbe/Y315z2B0k/UzJWF1QeJ/YHQZuFwea+oS2rkhp4uXr5xyWHY/OLlk2SwrQqEKIShg4KFJUs3ibWfkvwgEbIykoAgWrZxCkiLUkJb311EliUJVimNO5Cnbm4Wl15L3KAWW0ws3CY7mJJyROIRNCFvZMzsQkWkzvPd3oOYwTu2GkmwIxe3J25BL5+MeO938If/oPM1PXoNeZenXJxfl7XD5+xtnFYz757vf4/vd+hScXlwxDz5uvfkq8+ZrHaqQ9r3GmJstuTqxtgpeYjxjIJuITaFNRVRU+RFJWrB89xfrIdH3NYuFptaI5RA79jm6cCCmyuVzy3m98gK1rbq/v6HYHjLEsqhVPX95wezVyff2cu9fX3L0ehMjPvFstoBDTNj+lOaK+47ScYrW4FaYQGYee3W7LFD1aO043G1brFZV1DzGVUphvd5nHHa5S3wQyv3XKWIgB5yxrFnRDzxQDjYKlcWiXJCFLKVrVCMUvywtLKbSuotKGhEQ3xCwIqVaKkAvDOBGco7FOdHFkfA5CLjcWqxEpWkrc7zoGP7Euy4cwXa0NxszGxJn5VOOdb/r4dhxvLUUplDiQSsEaizIi7rbKSLCrKuRhTx8O5O6WaXfP2E/kbFAIYBXnBz/HwnbXUVWKZV1hKLR1RRw83f4a6wyb0w3toqY/dKjpLVqYjEbnORmZMscXJEKMKD/f+6xFMdNp5hRwxcy8Sln4ozmhiseS5f6t7QMpXVBaWU0ZPWsJS3pgb4Us/kM+R3xKTFNk9J59P3A/DBzGSB8SsSiSCuhi0bXh+3/rN5jK7/M3/83f4h/8/h+xtYrDVeHf/nv/Ex4/ecazZ8+4OL3AOM3u/p7br35GdXjJeycWZ1coROtbSiHESLYa5RTOJ4y1DBFy0Xg0/ekpLM5ofOTLL74i17D+/hOWqqJuapLuOQzP8WXHonlCDjVDf+B+e8vudi+BzeVA0bfYVnN2WvHexY9ofn3NL7/8CrfW3PVfs+/uGbs9+xeF4aApsXC/PbDrep7ERFVBSZFpmri5u2ecRlaLBaenJ6xW6weijew9j/vP8lCQD3x89XYE/y96+0uLcxhHmqamshW5LgzjyKgKtauojCPqJGnCKUsysLHoEBmHUWRixsquLCfJQkzidqCtJc/i2awLdjYuDklGNY2E1ugMKSa22x3TKMRx++AlNKONxoi3D29n+WPHPF7wQZ5tQeY0umTMfMfSOWCJNGXExi1qOlCGHXHs8GNPmIK4vjuRqKVU6FKk4NFZ0U6B0HteXV1TGUUYBf5XJXF9/Zq2afj0w495snrEbt/RHwb8FGfxcJgfHkFc9QyvpyQhOTKqCvWRnOWumRI5iweSpEMHrEb2ccWAkRbwAC6q8lCYWQVheM02Jj5mxliYQmCYJvbdyG6YuB9khE1pXuDnjLJiJbP4MBEXN7y6Tfzpi9+n28BFo/n4u4+5TZ/zt3/l77BcLQHNeNize/EL2nTPxYWoNlIIdD7xavBMKRLJFFuBWTK5TDCJ1FpC3aJwYow99hyGga70bA/XTNc9jasxy57R7wDh8r64+heMQyCPBrtIcsAC+ARbw+FG851nP+S9Z98hpsSP33vCL17/nJe//AlaO1aP1qwf79i9UmyfJ/aHjvvtnnEaadrmQXBhTUPbCCK72awwuuItLK5nKqFBqSy/PvpEPnTOt93zW3sIxSwRAE3dYK2jrjPDNFJKptKSmeJLoh9HeaCMjHsxJ/rR01SVSJ60EhQyZhQOayuwUozTrP80ypAV8/gaccbOE3lmt79nnKZ5xWLmzjmbTZv5m5wNrI7hrmV2JjgmMxsFkUQoAZUkpTsET9zfU99fUbo3qKEje3HOCzGTirh9i/eqnHgxid9sSYXKFMhi7rVNHqsSxQfZeSVPDoVXL79mtVzyw+/+CheXl3TdxN39nvv7O3x/oGR9bIozKjlrJEuiREFRRfQ8vxXEJaAEODqpU4QGmGQhLgT2I8/zSCwQB/4YEz4XppwYQ8JPkd0YuO0H7g4Dg48SGQgE5I5pTY2uNVWzoOD4p39wxb7J9K9r/voPPyGqn1PrO37vj/4+/43f+bucnJ4S48jV9Ze8vP4JFZFD2TCVwO4wcciKP3vxAhScnJ+Kf1EKjGMnB3kZ5Q4Z9cNk8er5S97c3TCpe1ZnDVe3VywWSypdo3Es6gVjD/tdT1UtyEWiNcCx223Z3d2jgkGpwM32BUM+UJxnGw7cDwf6V16MAlYFU0cW72niAXb9gcmPIsw2hqZZsdpkfOgwtppDtirg6EQ4r/L00eXh3cKci/Nhsnl3vP0rFqe1lmEcSTnR1g12joEfppFk87zENsQUOQy9oIKzCFglSY4WNFKkYj4EGduUmdk9ihgDU4HauJlNlZm8hNgedZG7/Z7d4UDKCefka8iz9YaxEvv98OwewYV5Z5mifxgLVUmYMlGmjjT1pLEjDh156tE5koymVLXstbQDFVEqoubVhY+JgJVEZiuCap0DfS8ZIpXOmCLsoBQDFMhp4uurF5xdXvD9y+9y/vQJzwrcXl9z/fIFd29u5bRPGV0kvlypmTxwvAeWKFKrrGbbxVldURKJhFYZTJm7p5hEH3kwGQkJikkRcsLHxBASnZ84DJ7tYeR6CBx8lN2mFvNklQV5101N065Znl/y4cff4Vd/+Bt8/J0P+fnzf87ri5+zXhby2tOFjjfTC/6df+9/yd/6rX+df/6nf0SKifXqkkcX7+FCy/ZwA0bjpxFtDZU2jLvA6N8wTHtevb7mzevn3MRXrOsnqLBgvVxxslmyWm0wB8/k73jx8mcM3chH9iNY1sT7iUZr3ny55e7uho9+sMLQknZB3PyHwnp1ioqWq/sXVIND1xM2ZTaN4vt/7T2ef3nF9vMRkyogQ5U5e7RmSh1bf4ObIif1GU6f4BrPUHoObFmVj9FZYWw13y3fFtzbgvyL7/+Vx1rZh1mGUZa+zpp5c6g4jCOVni1Diii8pyxL8cpaamPnuPU46/oMWidiSpQ44YoVP9GYGXxPtBaHJpIkEbqIX60xhvv7O7b7HTFEqsp+A542s6ri2BmkY8rHUtK8LJ67SE6CeKbjwVKhWoUyDcWM5NCjcsL5AC7jUoRZYTOlhGkSdTz66ILWmUpByYKkomXFkFOZpVJyz526PV9++QUn6wXvW0O7OeHZB8+4ODvh5tUVt9e37O93jN2eHAKlxJnqmlElk5OYV5eiZmNr5sXcwxQrn68VaEFhJYS2SFRGDkw+002ebgzcDZ77bmA/ePZBSSyC4iEyUJwcHMbVtGeXfPTZ9/jdH/8tfuPXf8STp4/53/27/2v+6Rd/hG0yq+05Y6voRk9d3udWX/P//L3/gMqecrp+QtdPuOoVRlf000Q37fj8Jz9l27+hbWpOlx8whD1oy5/+7E9AZcymph8HLjZnuKomx8Kbl6+4v73h5dU1BzrOLytq53h8+jE3++e8en5Ht+84P3vK5eYZ2+4GkiUOiYs15GLIqWGInje3b4jTyPlmyfnJBbU1XNhTuPCUyXOgZ+gCJW85PWl5EX7Ky7sB9XnFSfMhaXXP7XQDMfJp+Dmn5hyrLnnv4gdoZLd5NERTKqN1JSFNehZ+H9eA76z6/srFGabpYaG+9wM2KNw7uZq9D+IgoMV7JqTE5CU7xGpRa3jviTGKiiBD8p4pp9kcWstS3Qe6kmWdgSziRQ9qcGh8Llzd3eFDpEWhtXzZWouRsFLSMWMKci+M8zJ95q7J50fpPEqjndhnqNLgU8KliJt6hr2ieC8UuyBjipkPAn10ApjVOIKeRnIWymEOQRLU8oSxNWcna6rKcugHhhC5vXvDL3+5oDaGJ6rg2iWuqbh89pjlqmV/v+TupmF/v6M/dITRU3LAKvGTVaXM3FGh8KgsIuRsFcXmeXyfd3el4Ge+8mGKcpfsPLdDz2709B5Clj1sW1dYK+wrbR22sihnsYsNy4vH/Phv/G1+97d/h48++i71sublq6/5//7sH+PrxN3uS4yuqfYWVy45hIk7XmCKZd2eEx9H7ro3XP/hc7bbjsdPnhHDxItfPqdeLflrv/m7pJlovr/p2ZwFnn5geHk1sHp/yfWrX/L6jQOvMavEdr9lvdlwvvoEU4/cvLnl5S/+IVW1Ynu9w8cDtnHcXL9ktdlQr094/foL7q/vaVenVIuGPk68ud7ih0DXH7i73rM4PaFg2F8duHu1Qy2U8DqsovQdPu75wY8Nb8aOLz6/Z3Uipl/dbmL36muW9Q2N/Yr21zY8ufhE6s2CqF8sP/n8Z/zxz/6I2hp+/KNf58Nnn8rVZWaufavi7LpOwmUV6FwkZOcIxhTwOTOkMC+5NaoIu2IaR9lJ51nfmeOsYOFtqtaRQzvLzo53C30kYCN5GVppPIrr61t8TCiERB6MxZhKlvwmkK2mscIHO65VMoWcIiUlGXWNg+AoMTClAZsnWUFYS46StVFyIWVDUqLA8DESQoQccQoqJSsLsb18awxd1QuaqsWkMJsuu3lxbTElkaaJ11evcLOJ1vnFObpuwFiqRcsix5kpI9qPXZroDx4/eYlCeEfm5YzBaSt2kFYmBHFBiEx+Yt8P7LuBfTex7z2DL4Qs+Z3Les3pymKcFWaNlR2vsZVwgZsFy6fv8+STX+HXfu2v8cMf/JB22ZBS4fmrn/L7P/lHcHqgUoZH9SPG2DMMhTQmnp6dUxuHaR3DdMeL+z/ii+cvuX+V0KbC84bsC+NoOf204Y9e/scYWlQ1cvbpE6rlCaO6Zf2eY394zqubEbqa9y4/pte37NLIzX3PZteSlMdahUkV2SXck4TyjlA8d9sdp6vH6GRpTyoWT0/o9z3TUPBjwO8HIcvrllJge98Ro2Z320kcYhBsJw2R2IFrNbdfi6fU6fstZE1lNOvGMnaeqz7TbXecLP4EYxasl2sat8KgQFn+8Kv/hDv9mt2bxP0/vua/93efcrpuBSz6tgyhaRiZFGAMhiJQcgxCO1Oy+o8h4FNCa4umiLojxmNWjEidkmhAH/438xiP8rOjrECB0Ns4djwhSxcz8ObNDeM4SQHP/rZWG4GwjZ3Hu7dzfAH5mo2grDrOGkBryNGSk0EFQ4mjFGDUYFqKEyvIlBP95DmMgaHvKdGjiiR0+xDppwlrLWfLBa01tJVj3TgxQcsJP45MpRDjjLyiiX7i6xfPxbhZwfL0BNus0NpQtwtWGyET5DCRfEMKmRALniRp2SnPSK3HJumghUyJE9F7/JSYYiKg0KZhfXbKxbMa2wr90miDMpqsJWS3GBFMG61wrqbYGnP2Hh98/zf56Lvf4/T0jKauOfiBf/KH/yH/nz/4f/BnV7/k9WFHWylKLNS25tFmyeJ0QVNb1qcOYyKDF5bP2X3D5UeX2HqB0xpKxefdT3j65Bmj1mzTDf1+y5t+YGUNIUS8ysRRs6o2OLug2MRy1XDuBnbXA7dfHFBFc/LI0Zwo7PpAKp6kC9Og2F7fsr/d8bs//ldYrx9xp74A1/Hq8xv84KgXFUp7mk3B7yP7+x4/ynWgWlZghKFWImiVcLXDqTPsUhhYpSzw+YabOw+DQseKVbXgi+fXfPn6P+I7H37Ab//Kjzk7ueAXX/8Z6Il1nWjPl/zo4x+xWm4kH8jab1+cfurENBkxJs5aFBI5HTMzyvzPkkwlvMwizJV5wTybzxGPjgUgnzu7nqOOlrvMe0hmPaEoI4yGnAJ3d9d0Q0fJom5RymKsxjqNtZoY//yOszzc20AsKRVmtrdSKG3AVJRYk/xIjgofClPxiK6jMAF9Gtn7QpwSIUxs9wd23cS+H2maig8vM4/XCxofOYye02XLympMESpeiFGYQlYOjq7vefH6NRenG1xTY2yFco3Yhq7XMtYHT5wCYQqkFKmLo2qWtJsTbO0oJRL6kThO4lKAEBuMtmhraZqGqq5xjZDCxfpSiykzYpJV5lBgrRVZVxyUQS0+5sknn7E4WfC//T/+zzl7/BijGz5//RO+7P85/TSxrFY8OVkQRw+uJQfDZn2B8vDZBz9kygdS3pPyDdd9h+aEi2dPqOuaL37+S3SyfOd7n/Hs5JL77Dl0N5w/fcqpU1TUXF/vqNHsbKR9XGiVw4c9VBMLE7CuYrVsqKzh4qnGNQrjGoYh4see/i5xeFW4iwf+8Kf/mMuPLlCVwkT4+INzrt70bO8mQgfblxMxQJlE/L48XdHoCussOI0PnsXZwGc/OuPZ0zVjd8Pr647tTmrAa4m+bOJEwRGHDHVh+6d/xh//4c9ZnS7ItSdkxcKd8jd/+3f4tU9/m4Pf8yc/+2d899mHfPfTX/t2xdn3HWlmj0yZ2RwpP4S2lLkb5ixj6ZFELHhFmRfnsl8sx90bMokze4bOTksPS/MjDa8o+XO5gEmZ+9t7Dl0vaoR5p1q0kZHazuwLvrnn5MEORbowRoCOo8hVoSglEeNEvr8jh8Q0BXwWwvmYCvdj4LabCFNgHD23dz3TGMTcudb4MTG6kWohYEPqIqptWTrhlqoioubaWaYY8dNEIjPMTmzS0TTaNbi6RuUVaZqd5BGz5pgLddtyerlmfbKiaWsMkt2ijgfhfBdlJmRkLaldpYhLRZwNvkQEIFrNjEK5mru8YNArfuUHP2Y3fM6//w/+F/zB6z8iXg10/YFf/DyxXGp+5Qcf8fr+jvP2EU1es/f35IPjZuxwDr58/gWPnl6CWrB9ueZx+zHZ3bNq1vhuj4maJ08f8cn33+c3Pvotfrl7w/TLCV8i19tfctauqFeFEndkVbjrAmOaePbekjdXYlu5Plvy5OmCRa04Oa0Zw8ib3Wt864jGMm6zdNqLQvXshnt/xWV9idLnuLqmrQqdzbjK8OijC6Yxcvd8Sy6Oal2hImSv2N7fYerI4w9rzi9X3B+u6LfXeG9w9RlpG1GjorYVPkZyPgAN6/oMXRypaK63EyVDu55YPjvhD372e/yH/+g/wrPCnhXq39f82/+t/y5/79/4H/3Vi9P3w6x7E4VCRvaGUkVzotIsxi6zLO2oqzwuV2XxfyycWXN5ZPQgf9WDHvyIOs5FTJ5NkFNkv9uzPXSkFLB1M0PS831plpwdh1qRi811rxSYI7/RPOydjl9fKQWXKqbJ4+qWfOgF4dUy8imlGL1kqwzjRD/K8v9k1fLsdM3lpqW2RYjoKeOjpyOTk1grokTJL84AUdhMRdF7z2HsWTQtzsgSXWmDtRXtckWKEa0KTd1KeGxTs1ovaJoa4yxGaXQ+KkgEMMppTqUsR1dZidZTiAteRkn2iVIUs0C3J+xNxdevdlw+eopbwh/+yT8hXgQ+/e6G5y8P3B0Ci4XiOx9+yPlixf7+nmIbPv74x/z0qz8gahjGHq977vOO7voLui5S8YSNO+XXfvQpXXfN4nHN+ZM1J6eXWD3yj3/2D+jUCyrjWdYbUlkxspsNvyaMh6ZYdKswVU/dBB6fNxgX0WXL1X0glAVt7fj+xz9gP2z5p3/2kjfXkTyLZLwqNI3iF1/fMLxKtLUhDI5iHPV5RSAyRomH930g3eU5xjGBTrgEh9vE/vYOrwL9aNjvMzfdFWmCs/MzlLIc/B06KQiF1drizheY0VGb93nx8gX7wxVf/uI1znj6zjB2AbPN7CvNv/v3/+/8z/6n//n195ejtV4MnQs8SJHyg6HWu8UoD5w8GDOJmOPH4w1SzZ//Thc9SnUe/otH/585GAZZFQDsugM3t3ezn5AWPyHFHGwko9s3Oufx/jmPyG81n8eP5YFYoJRYWKKcGAwnWZ+EXPA5McTI4GWXqpXG58joAyFlKqM5WdSokghhJIXA9rDjdUwUU3G6OeXM1SilCCpJjHxJ3B1GFk2As/n7z7O9hnNUi4aV2uCcJS5FUuecm7WBZhYLi37yqHUqSEeUjVGeJWWz3YtSsgPVhmIqtFtQXXxKffEeN69e40PPycUJv/ef/b/4P/zH/yuenaxwlSepHhSsThW391+zaj7h177z6yQSt/t/gYod6IrVxtFcBIq9p/CUzekpU9hxP33NeHuNbeFuuuK2f8mq/4hKW8xF4W5/g0oK0j3YgN9bmgrS0KJ8xbo2uKUYTW9WKxbrFa523A0H2PmZdA932yuuDzf0Q4Ck0JX4DTXmfeJ04OarW9jD5uMFwzjR3Y2Md4V+E2lPItVKvIcOrwLjLlDIqKqQg6WElv2rJdqesLt+yW3fMc7SQl1VfPDpJdU9dN2BlKHZBNRmS7+/Y7hZQbT0V5F+B7bRpDQzmLYNufa8idt/af395XEMcX4A5nl09uPlwU+Qd+95887moTDV/NDMVDrKW+e9OdlZo44cs7flWY7H/mxLoqXohr7n9vYO7wPLItB/nG0y7Yw4HuOn3n5N+hvRa28Lk4f/5nH6NtaJwdgcs34MBzpKf2KcASatCD5x5xODv+J6u+PyZMmmsaCSrJimwDBlbAW6zpyvHVlpEo6sCv2UKPuO080apStMtcDYWpK7dAZXyaoEQ2nkNRAvpCNwNl8f1KxAUTxcLcq8A9UzkJe1pmiLrlaY9pTcntOrmrw+AbPg6vqGq/0vsV8E/tEv/j2WFxrvIWdN1axpdaStHTllRp8Zwh2xrxmGicquqc6F9BCmCpdaqBqKLvQxQrpmaJhdAgZMqRnKPeY0kXpHzQasx6iKR8uneJc5OYGxnzjsM7EMjLlHsaC2ipQHfO6hjGid8KOGWLPvDhS3xlX3NDWoaLDZMt17rm87ylhYnVbYmuNcT07QXQ1CM7ULOeCdQjtDDoWqtnz2a5+yOVuSUmZ3GPDdhnSA7A8ok/Fdz+31C56sPuTp+mMR6NcDk7llqi2HzQ1TqHFjxG8LUWu0brDF4KcDyf9XQGvzfEk5LkvLw4N9LED9tnOqtz1S/rV6S1Ga//lozaCKevj8ebicr0r64c8ffUVRhqINUwzc3N/PgbpHVwThKYpfrBhOHQv8m8z/Y3Eef/32y5QFvgjFq8rhnGGcjCzDtcJZseHMBWJITFNm3wdx0DuMXN+PVK93LJuKzaKirizkRG0syhR2Q6QPhaaRPchUEr6biKphCqBULcZXxkBJlBRmp8C5kxYND3fot2HqSumHV6U8/OQlXRkn3M7kKlic4don0JwQbYXPmvtdh97uqYfI9f6Kf/Rnf5+v/9M3XD5d4VLDzWFHe2I5WRZON45pXGEaR6Tn+hCoyyU+JcgSqVCs5W53w9gXSnojGSObFmsVtdCWWK8WPHqsGcJIyHcotaBuTlm0DZqJVaNp2g0pBmqrUOqW/aEHn7C1w7UJUwLjUNhdjZAtlTOkEHjv2Xus1g1B/YT9iz1TiBgDL3/2mpiyKARbxX6aRLtaMn7fQwA/FEg92EJ7UrF+0tA0C1bLivOzDV034kOmnxK3b3YYHNOgqWrN6ekZP3z8m6zbM6LvmfxAmAKr5fvUzYadveWujLS10P6G0FF6S3+dUcaS4sB6XX+74izv7AyPvy6FBy+VtxEI74ywD1OuiJMe7oGziZQ6xijMzVdrBVoCWZUxYGuMkyhBV1VU1RJX1zTLJVOSvSNFVPHlmJ+ixVwqlrdf9ze+h3doU28Ldf6+kCKwzlFVDc41KNVzJM4762QPqhQlCylBI+hzoUiqdYAcZXQvWbTMuQTUZOn7kdfbLU5vJCskW9AVj8+f8unj92mbGp0lRJh5J1tSfFChCEvo7dXhCJYl+eZ4cC5QCqylKEM2jmKXuLP3qR9/QjYNh65nu98SpgGlC0Vpru6u+PLVT7jb3jLEkTfXA+neM7YBf6doVRaUMva4g6MyKzIt+9jjtMHamvXmGSF3bOMrxukeP2iWtmZVD1QL2O4GcSGsbjl0T0kmcRgHkh8weUtjK05XG1q7JseE1pkQ79l3LxlHIAlA5jOEXOiGHrJGG0e2nkWrWS8cIe7x/QBVIUxwextIXcFV4JYGFRzKBZaPYPN+w90Xge5FAixVq8EovAk0K0W1rui6kc8/78jF0nURVQquqmiaNdlklm3Fdz74FU6b9/j81c+52X6OGQq5gtVyweXliqftx9TNGx5/fMJ995zXux3bqTAFQ1I15++d4lbfUs8pBVQeRtsy198DIPTOw/727Z2ONesKtRY2CkoKUDkJR7VO0pmtq3B1hbE1VbUUI2tnqapG/GudhOG4eo0Ps8eQMfOop2bzKsNRVf6u6de7X6Mo5d/KeOT3RXVhjeR5VJWjlMzkI34IhJCojME4kV9W1mCdlSAmYbhijRhKj15Mo93sobrThTHuCCVDUVyulzTtCR9/+BG/9umnvPfoDKNEw1iyAEpzbPbDRCE/d2n1ev7deT6Y75I1uJpiWqgWRFPTRThMhbU64UJXxJTwPhK8xO5ZY8kUfvb5H/GL2z8mVJaP3/+EP/zjPyZ7xZPNKXYzcF4t+fA7H/GTP/maF887np6dUpLcq0/WpyxXZ1RaMYxb6gaemkvM00K7mTBmZJqgWWiy16zbH3DTXdP7W1L0VFqzWFnqhcUuF6AcwUTudl+TwoEYHSVXaFaMU08IUXJMdcEtG5aLS2K5Iwxv+OXPtgwpoAIslKWfIn43T0pa0zSOdlmjzsQ8rL+NhDHgKnkWlQJTZD3nDyPD9oackeiRxSkhCCpuMaK5pQUMlavwfhBjt1iz3W2xjcKPHT5cU7kVSmee+xvQd8Qps71TdHtP6TP7Ckz6lsX51k19vptJf3ubXHWs1odmKPdEV9VYO9+lKoepaup6gatrbCVF6WyDca0UpZYwXmuqWQo2F7YW8oNSQkZIGImizxlnK4yxJD07yRlL0vkbX/vbM0P9ue75jglYKbP5kqWqxOxaG0uKmd2hZxpHSihYVZGRyAVXVYQ4xxZYufOWgrjIB9BejJe1UgyjYTtkXt94Pv34Cf/N3/qQ3/7sEx49OpMApJzeeReirNwI1IMxWwbpnkrJLnh2zs/NOZy+j12cE1TNmDLDMLLd77kf9/R3W4qVn/kQJhLi8dv3HTd31/z0+Z/w08PP2Ly3xOYbLh4t2ftMs/khl8vMpn7B3e2X9PuORf2I4BWLaokzLUN3Q4yZzcWaQfU064nTy8cEd4syiU11wfb+hsMuYFCs3ZKpec5QAjquWVaWxycXmGrg0brl08e/yh9+/qd88eZAqe+xWlHVDc6c8vqLG3H5X9b0fmChBqy5R5kVt7uBNAxMW9DOoXKhqjTRZWpbcXqx4uMf1/yN//p/h//z/+3/xOsvronXGfaQQ8KFkdw6sIaaitxrYhxRTjH1mtgNOFUJf3tKpMpjqpoSC19//ZrNWY9VNZfVM3ID98MVsSmYvCJHjY6KsTOkWNNNEwySRYrR6FJT+m/p+P72QZ9vnErJPU/rh/2kOqru5993Tcvi5JzV5pJ2ucE6h3MVTdXinFDEhFc7B9koYagojbjNqbfyqPLO/ytgnCa2+56UCpVSaO1AG4m/sxod9DcOlOMvjgiw/OPxo+Y4W5citofH2DprJbLOx8xh9OQY0c4I4om466k5E0VrCFHUI+UY5zYbQGnE1DjnzHtPzvnbP/pVfvdXv8Pjy1NxLUDcDdRxOXw8SPRxVSWXiqwKWWmyXZLdioCh2CX1ow9xm0tiLuADjL1ET8zu+eJeeEvlHCFG9tstd/c7Schq4fT0FOP3uFXDqqn4rfd/xP31G5al4FXhq686Xv7iwOnqgkXtmOiZpnucWtPvtqxXEy4o3vvoKWePPsKXN+wOA66cQVSkJObaNhu22xecnl0SU4eqDW3TEu09Wie+ev0nfPXlLwnulMNeETqFivBoseS83WBTxZgd2xc9u9tCq2C47jDtHreCbqfgulBfRnSVSZOm5MLl43N+63e/x1f+H/N/+b/+O2xvAnYUMChlMXdD4AXKFBmTbHKMbchJkYJYk4bcE2LEFoVZRM4eNzx69AiTLXdXPaY6UEyhso6lXVKfaS6fPaL0npoV0wCH+z1puIKyxxhQtWXy4a0b+1+5OJXcBeEtsqqsFrc64BjrrTAPHbFZrqg3J7SbE9brU6x1ZCV+P8YKuTrniAxrZb5zSjqw0hx9oB/of7IsFz2m9xP3nbCWjiwfPRPozUzAf3vfLA97zqOxk3TM47cmvj5HhQDYB8T2GEirjRYbRcR5vGhFidJ5U5YgJ/l78luUaR613dyNm82SH338IX/3b/4G/+qvf5dHZ+LxWx7ulO8Iox9OFQmyKKqQTUW2C2jP0ZunYBckn0hobLOB2aEv5UJKZWYBiYA9hsi26wnes+sOjNNE09R8+P77PN//Hr75Ke89VZDv51DXzGJ1Tzr0nNc/oP7gR5y1Ha+fv6A5qejvX1GZSFQJVyuqyvL00cc83tQsm4FDiOzjxOub10xTodeZlBQlBna7a87PP+XJxZptd8sUa7r9QJwGqgKueIxNVMtEnWDw8PnnV7xmi9c117c7hj7CZAgZwpDpbzLaKFIQLWw1FfwAcZTX/urqNf/wH12xft8xbCFcA6lg0azPTzh/9IztzR3b/R0hBEkKXyww1pFiwg8TKQaxYq0MRPFuKjny3tPHrJcXvLj+kl24hpzph4EQC+pmoiw8q/ocoxdc3z/n6uVrYgokDDqL+38O4IfpWxYnPCC0klOhxeqwbjHWEqMnpShRae2SZr2haVYoV4uNxuTxqlCKIkewOWBTImdPKAIo2FoCZY+8PX1krygZ5aRTSTw9pbA7dIxhoi3tfJc1s8TJonX8C8ryPy9mfevQpyT6oQixQinmXaLQt7SVwFo9ewZZIylnWeVZUyonK2retTJbp1SaetFwfnrJ9z79hN/8wSf86P1zfvWDM04WS5RKD0X58DOepxCtREuZlQJqVHtBXj1FL06w7QnFVMITngZKTFKQkyfGQIqJ4D1pmpiGif1hTz8Iwbu2jlW75PTklMvLp+jG8y9++Q94Vf45rYOcejA1YbglTxUxeO7Hf8ZCfcpZ07JfSaRgrQpnm095fP4E7QJVVTPeDLBc4oun66HbN7TTMz786/8mf/Kf/O+xVWSzOmG5POOwv6Wb7rjtPSebQFtvCFUhTAPRK0ycKERWm5q1SfjOc3XjxbHRNlRrxWhGwlAI4yivYy44p6gbQ9xnpkMhBVDaEH0hJMf9tWV4PRAP8kdsbdHrlqGfyCGxWJ/gx4k4DEz9SC4DIH5SJQs3WqiWjna54vLRe2Q0d/vnjPGanAdUiAzjjq5L7N8Epu0r3vvAgZm4v9szjpGSDMWI7UymEKZI+rZ3TkmXKW+pXoC2FbZqMUZ8T2NOFGWwVUPbbmgXJ5SZmD6kiPHgcGRTKKaQi7hypwQmFyrAVmXO7BA02GpFpfUMvhhcpWmcpbIW0sD99o6mtvODPouTj6bU8/JdHvp3i/PtbvbdvaoAQgqKxsw+s85qrNHUlcNpTVQBpwvaKIoxole1Dl/e5lsqpTDWcnb5iL/x136Hv/k7f43vvn/Bxvac1YZGz53yoYkfx9aZ46ogKk2yS0pzhtk8wWyeIMs5NVt7gslZpGJq5jTnjJ88Xdexvb+n73tSzmw2Zzx98h4hBMZ+kHzVyqBd5A+++vd5E/+Euj1jZE/BU2Ji2STqak1Z1Xz9+muG6Wcc7g11bSl9om1OefrkfZZtZHGiYKwY3hz4Z//8D1hftoy+sBuXkD38p/8pi3JKXSecbYDClAvBNrSPLCdnNZUxvNobvt4W4q6wyhkXCqecy7fNS7LLdNseNUZsEpcNv09QwFhRLpUexl2iFDMfpJkUImhF7GF6NZB8gixQRoiJPm7p8j0+jFSLlhLl3p9zAWVxVU1QgZTk0HS2wS1aqrph373gxdU9rkmgB5qqZhgjKmaebC6wpwt8LhwOgX645/b6DqJ096mXcdCaQorv4iJ/xeKUaLY8F42kDCsjdiJ6TnlSxsyE6xplG2y1wBmHMoqcg9A9VcZVGmUV5CwW+kbRtpZlW7FYtDR1Re0sdeNo64rWWprKUjlNU1W0VY2rHM5Zur7jzXWhrhXWCEfXqvJ2rJ2/Yf2N7/wvdtBSjobC4ggYwkSMHpjd+axBOwspib2ktZSUcdZRV5WASQWMs2Acz95/n3/t7/yr/Lf/zt/h9KRm3L2kiYnWVlTWzCsR4cBqLFDIRqN0TarWsDjFtOfo9hTdNBhXkZKgySCCgaxAIUFI3dCz3/eM44RC0S4XXFxe0jYNzlq6vufN1RWHwwGlFYv1Kfvhji+2f0CvJlTnefkmsvOZhUp88nhB0+4oKlDbzH7bU5sTVovH5CagaajMhG08Wd+TvGf0PX0ZmbYZYyqsfZ/J36KXEx+sn5LqHupA1Hsmv6UfRvoxUQ8LaiKDH8WTbD5MrV4QuwXW1cTyRiR/GaYukHsBy0yW56fkQhigjJIgJkZ282SSIE6F6EeK3KJmYFPWe2M3yJqqkte5WE3oAgQ5cFUVcA2QFSYZ4Tr3B6LZ8vRS853PPiaEgZdXL0Cdszl/QtWcU5mas9UF+1Hx9ee/4O7qmjB5lKrQSGyDQlOymZMLvqWeU1mFzjJyKqPm9YeAOqBm60IxLTZujj+vlASo1hala6w2LOqGzXrNsqlpKk3tHLVzUpRNQ9PWVM5Ra4txvL1DPhghCdgkI2tmmiZeDz0aT1Np1ssWO+sn5cL61ssW3qLORx5wzkn8dEKk6zr23Y7tbss09ozDgcNhIOf04GDP7BVrnJNf11AtaqLWLBYLzs8v+Oy73+df+Rt/nR9//3s0auTu6z/DpZHTx2ezj2/igXZh7QPAoxaP0Ysz1GKFsksSPKwA8pFm8PB1Z8Zx5HA4cNjvid5TNS1Pn55TVxJaq60hhsDQD+wPB3a7HeM4st6sWS8WuGrFD1Z/j6vDc2J9ywfnLav2GSrfc7n5Hk215n78Bff719RrEQOHPKKCBTdxMM+JuYY3I8OdopSGEGCYJkGb7UhVee73dyhjCPlAySNVfcm+m7judpSSeRVfs64qFmuHahOHZcZlzaZq6Hdf8/IXcH7+q1BN3N78GS4VyewZIRtxK8QjhTe7zgtnZvb71dIMSso8ZC8YAYGcq8khy/bBacIkThOgHyaxmMQ1PsyOGiVM6KZw9hjKuubl/T9HGU+pK4JvmfyWm/01/c6TdorV4gJnFzTVhjDeiiFu0WhTi3NIET8sa923K05t9LzcNtiqYtGsaFcrmtWSqq6onKWpKtbLBcvFitVqzenmhM1qRbtoaWpHZS1tVYuMyUnyszH2newIiaATobV6iOrLRQyOVRJv85Il5CYf72slE6YD1mQmv2S1WFGUk+scR/vHWTeajwJvsSkJIeCjZ+gHbm5uubl9w/XNDaUkGVnrBq0dywWcp8RUVRz2BwYfGFPB2SVnj59xujnj+9/7Pj/6/g/57NNPuDjdMA1bXnz1JWm358npEtW0ZOtmaZYBU6MqyWexzQm6XqPc7Fv0wJWVn79wZMWNbxxH+r6fRema09MLKmvnEGGJdTDGSLzeMLA/7On2e/wgpsfNYkHdLgh+xGbLk9Mz7MnIwl6iSiROK3IYmNIeiuPZs2fkx4ZYLF8+v2cstWTg3Pc02xYzadSQqVzFxcUjXu5fc/Xyc8yisLKW/avEOHiqtcGtNDvzikLP+5szkt4SpohGwprayuLOZyfCtMWWTP9aM+xfECaNHhS+m5uFKlgFZVKksUCaCSworHUop1DZi90mhuAjOokooGlrqrqWWMRa4WrxUs4mog34wTMeBtKUSCFRdKYYeR1KKdgnhfqsZVl/hGIiqh19iIy7a/pupC8jaqEpaKyDum4ITHDRoNuM6Q3968jQZ4oE1BDTtwwy+sGPfoN2sWA1h34uFytOV2vaRcuyrmmbhkUjHyvX4JzBOSsn+KwUkX2fniM5jsoWefc5UYo4jcvoNhMejk56FHROD0qLd5FYxZxapsFPsEuTGFGXo7NCIqdCSsfgOmS5nxPi+xpJKWOMxRqLM4YY5XjVMwpc1xXnek1oW6qqRjVrzi4e89d+5Ye89+wpjy4vOTu7YLVcU7eObuhQJfLdH/yY5CexGGkrlK3AVnMepgNXY7Q4FQpEbea1cZ65vgISSADrxDAM5JxpW5k04mzjYu3bQ+54344hMg0jQ9czdTN3tKmp65qSI/0wcTc8x5stj89+l5heov0d0Re8veN+/wYfCjEu8MFhVM26WrMwC1IJtGdPKaPiq9e/JPvCByfv82L4Gdf9Kw4hoIOi2EjdKm64Z7O74PuPPyXUNzh1TrOseH7/M/pcUE7z4mZLSpmna80yw8114nZb6HaK4fk1oYcwZvIIyoFqpUvq5KBI8JI+Uht1hDg7+1eKxWlDzJ7xNsBUQGls07I4qwmpYxxG6tbCUvyR0xhQc8hhTgUVZdectUKdZ9YftOi2QL3HLTR9l9j5jsOYiAOYStO2UF/WGL9FFYU2HYsLRdUomqKo15ryXDHtxIjuQc71Vy3O//F//9+iXbTUtdz3rBFQRhsjy/AjX1UBiDG0GEvJN1tm4+AyF9Zxb3ncmx7laGruGHkmDhwVZaI6F9Q2P+xYBMEFjTI1RitiKkxB/HyOE4wcA3q29lDi2G2Z9zMSQBOdpSTPNDb0fUPXjZSsCF4yIcUX17Fcr/jgw+/x6Sef8d0PPuZ0cwKVxVmReWljha6nNGcXT1it1jM5/ZsrFkqZx6y3iJWePYpSFiWJ2I34h3djzJyGLBzMEEQdU1XVQ2rV8WMIAe8n9vs93XbHNIrL3WK5RGnNOEW6/kAcK7Br7u9eE9UdVYmkeMvd7YH9VjH0ii566sUlk99jSqTSgaU9pcSJbXrFi/srTO9oT08JJfArny2ZPir4waPqJW9uFFdvBnz7nLNNoj1x5OWKMoDNnxLTV1zd7Li5zbRGoV6KX/H9HWz3MF0l8jUwqeNKXZ4bqyFrkgmoVsEExcvBmyOS/q0tTaM5uzzh/u6e3dhjsmLc94xhItc19bJQnysuL09o3Qk/+eNf4v3E6sMl1bpmf7sl3kTKBM37NZcfLFksobKWYu55Pfb0XSYlzaLVVM0KPynS4Dk5u2T5WBrHsoeruy3TmNGVIzvF4hSJxAg1+H95/f2lxfnZZ9+Z8z202Dbk2cJ/doSTEVLugTnPu7ny1o7kIeBRHtWZAF8eoJkHydMDQQ2JAJ8/IR9bZgZIDx0R5PQ0tpqVK7PxMWJ2fiTb67mgS0nE2T7F+4lx6BmHjr7r2G7v6fqO0QdB+4xDqYLWQsa/PHvMdz79jO9/9n0uzs4x2hCmgMbMpljSaacpirfMnAEjjB65mx8BnePx9HBAFYkiIkOc82K8nwQYcZblcvlQlHEex2OMDzb/gEwnsxWL955+GCTDY+hJJbNar9ms16CEl/yq+2e8Dr+Ptwe0XWHwDNst/S7Q7zW+K+hSsXBLLjdPGfyekD05BmK8o6RMq5csimaII930FU8/qLBu5OYqo3XD2eIx91+8gl2GvCANC7qo2W9HVm1gX6647+8ZtgU3QJoKt6GgMgx7yEFhUPKzQYYLwT0gh0JdaR5/dMauG9m97imTqHHEXFyhbcFVjqsX13T3Upg5zD99n9i+Gjh5WrF6v6KnJxwqxt1Eu7Ysz6A+U9izivFRhjFTrQxnp4/IJhKnntad0SpNu4iwrJn2FpNa7ruRGCcuLz9lQeFfvPgn4kPVZ4pXrB9fsFhq0v4g7z7+hVXff+niPPhplk7N4uW5OKWwJBp1ZrGijkV5jPE+Vt9cnOrh4Zw/p7wDdBQpoKObeYplDrHxhBgIPjL5wDTJXlWpyMn6hMeXlywWC4qSEaHMFpI+ijGW9x4/DAxDz+Gw5bDf03Udw6EjDD3BT2hVqFYrFptzqsUGo8R9Xtma99//kN/97d/h4w8+pG5bUooM/YhCUVVOqIlaulYuEi1wjFs4nivHg+c4JRTKbPMiDobHoktJqIFNK5PKsRuKD296GGWPhXl8N0Zegxgi4zAw9ZLOpZ1jtdk8dE2tFYfphj87/Ge8rH7BZuHwPnLf37C/GThp3+Pi8cR+cWC7VUwoXm4/p6VQqwWVOSGZws3hBdPB4XeBHAr71z2PNudcdyO3+4hRioUxfPDsOzx5HHDB8fHHP2RPz/NXP2EaevquZ7wHNxX0VPAdEhDVQfJI9o0qAvQY0f8WZiVhUEzbyN2Xe/oQSEN6y/6aD7yYMtkXVMhYZUk5Psgdc9GUAJV16FZztb8lvrnnsx98yOn7Z7wZn+NjIHWJWDL1iWax1FQLuDv03N5fs86GRbtAYyV1LWqmw45+8tTLhpvtC57vD7x53RNiobKGZbWieEvfHYCIcxrCDFh9m+KcpkkerWO29zvvZSZiK9RcmPnBSY/ZP+gYWZ9mt72UIzkXog+kFOZO4Ql+YvITfhoYxoFxmBiGnmHoGCdP8CPTOMrXkwtNXfPh+x/y8UcfsVov8X6kP+wZx45xmBi7PUPf0/cjYZI/6+euk45AERKRvlqvOVkZlKvRxs1G1pZHj5/w49/6bb776Xepm4YQIuPgKQXqthEgZga0hGUkTgfee5qmeTjA3kVac85z9/ZM00RKCTt7/iwWC5xz3yDtg0wEKaW/IIN7+HWRruqniTB5fJBw3vVqxXKxEGNfrbBac3v1nMN0x8nyCU6JK/1uG+i2GsM9UUn+zW4PL7YepwpntWZhMmcnDaYt2Cby6s2BiGGx2lA6RctjdL1ExSvaaknoR5bnhvOLT1g6h647bq8+x9qR2lX0U0OcErEvpLEw9QizJyiqJ5rNZcN4FehToExFwJN5+hJmlWL7ZhQrG95OJMdeUHxmd3dAOdEDF60F3Jl/ps7Bk/eesDhrQP2cnokb/wV5OOA2aw7X9+xuo7goJsvidMNicUJJLf1wQDlHiAkVE9vbgW7rKXnWFi8Lt7c3jONISY51u+Ti2RkpDeTSE+PI1HuysmRtZ7j5WxQnx/vRUZaE7ATVvBs8IqclC/CSknjfhBiIwc9jmHS8aeqZ/MQ4TkzDgJ96ur5nGAbC1BOmkTg7wg/e473IdGwWXWUqs6Mfhl5bhv2ON6+fU1ea5Ad8N875nwkfPKNPxCSnqdazcFtoOFJMM9yONpQizgpVXeFczcXlM377N3+b73zyKXVdCQLa96SUqNsGV0lh6lkEoJSSdUmB7XYrFEDnvlFgMQob5NgFjTHUdU3dNA8BT3++MN8t8Hddwt/99zmLz28M8SEtrGka6b5aMfoJVQxFZ17ff0mJiqY43nvvQ+5vXnP9Z5rrm8z+0rM4g2GAbaeZhiyewLYFtaJulwzxBfvrQPdGobJDTdBUFaerJ1yen3F1/QalI+Qdnbpnn95wGxXDyx0X1WP+9d/6N/n6xc8J/e/Bac/OgV9VdC88UYOqYf1ejWoKeZuhFQ51SpoQCgzM+EZ5mEzy2x/Fw6WBIvtD184OFMGD1cL4UQqjNK++vuP9+ilPFo+I7R277cB2uiHeb+l3CVM5rA3YSuPHCT92OG25WJ8y2cT93StCn+k7CWRWCXxfSOGAqhRFK2xraBs7p8UlaUDGEwlko9BOfJS/VXFO/WHOTMzznSOSUpRRc+4AwXv8NDEME5Pv5+7XMY4d0zBI15o/huhJcUKnKAhqmW00yuyArSCnQsyQipZ7nZ1dAGwjq50CoAjR8+bmGkOBHGcUVhNLIRZJrkhA4wwLV8TiQyFAlgYHFKWpTaFGnNtrV3Fx+YTf+e3/Gt//7q+waBt88PSdBDMtFgsx5JrF3cdiOaZMW2vZ7/ecnZ3Rtu3DvwOJtjh2xuOKp1C+oY09vh/fHni7iCPDw5k5d9LjyDt5OQhLKd9AcHMS7aue7+X9IfP1nwQm9yVXL1+wqU+wfkP2B15eec5m936VFOdNTVMqttcDN7nj5mrL2Gn2VxZtGj58/ITV2RnvXT5ms7yg6wIXz855dfenhHBN1yeymjC24lc//R0WtuFu/3tshz/k4uSSk/Mz9uGG6zeBMYO9BpsVbYqEmFg/g9poIaobRzGG8Xpg2ibSACoccTU9S+14y4hUYOsasoTcOgNYQXD1qWZ15jAWbl695OzyguX6Cc1yxBdFXo34RY8ypyjd0t8O7K7vyCWzXl2gwxJ1GMhZo6rAqoISMrErjEMhDRmHZdW2NOs1MW25vhtEeghcPjnhwB0dXhhh//LG+ZcX589/8VMZlaaJceql+4094zASpl5GyHEihGnOJJkI3pN9mtOzhLImHUYi0axVmDLvT2ctJliKsRSjMKVQF1BRCjQaGcmsOeZOzkGwM6XEFj1T4NTMnDGEaOiNOAa2RrNqFFVlZraT7FWtEoaJVgnDxMIqvvP4MT/49R/z3e99xnK1JEehvoUYadsFxtpvdLBj4eT5Ll5Vjpgi0zSyWCzE3nPumkcg5/guAK7AYG+dC8vD3/nnszSOXfV4EAAPn59SwoeAD0HUMtpKsWbASMaKipn1CuoqcTO11P1Tamf49LeAP/2aP/7JhMsNq3WirkVpM6kR6kw8KCKnWLXi2ftQ6QUffvB9zi7PSNzx/M2fUC82fP3lLesnA6etRV0PLOofcHJZ82jjmPotyzKQU4NaXXC9vybfZva1Y3NpuckjlZedZpssLBLjCUzOYKYG33W05xp3oumfR9hBUhpjIBZFGWfgcEYWc4ry3BkoMynl8XtPWH2wZjL3hHRPoxsqB3V1Sr2smEIhjAMLuxOGlj0h3d+y292QG01Wlm5/x9D3RB0pppAmYSsF2emQQyHlyOnFmsfPPmSILXe3r+k7RZkS43ggEGR3ryzm29qU/MN/8B+Q/EiMgtapuYOWeTEeEvgoW8TKKKyeL+5FCZNKSzad0g6rBc3NBvIMoihtpK1r2fXJzTajS6bScqt1BqzWOFNQOqGswmpwChQWk+elvdIwU6OC1WiTIEJlKqrG0VRZihPF0d+hFI3VFWfrE3706af85m/8Fk++92usTk8pudB7T4iJpmnFy1R9s2geUNh5XVRVDijsuwOb9QY1d8ojiHMca0Wfqh/CfyUljYd76bsF+a5g/M8Xaili6h0mzzgMkiI+2/tLxGAUbyUX2A0HbscviCdvqEzHXewJ/YgdJ64TpNzw/OcD733Q8P7HS6KeGHJPILP10IcdahipteN048mlZ98lXoUv0bbw5uaOk/U5YeqI1qG9ZcpX5O6CXbilXWucsZydPSXXhn5s2DaaplVctqfE8gYdE3H0TDvN0q2pFpa77pbp9h6mwklj0SoLDlIbrIX6/QamQveyJx/mDpohTwHlDEkVilLUtWV1vmRzvmIbD6igWFROrkwm4AuM44HaGC7PP+LF9ppQdigdqNYLzOKE+/2B7e0VSkE00KwWhBA57D1GgHmMBavhdvcaqsj6Yk3Jha4bZAzejeLA6GWCM/W3LM79q69kW/iwz9QcnTE1ejaRkqJDO8qMrOWiZg7o2+6Y3nG9E3mYJI2ZB1c8hTtq/LVCFYXDYF2aw4oEB5W/D+l8GPHMyYUSMyBpZtpqCoakNXWlaVpoq1oQwPl4lS5sOTu55Hd+7Tf48W/9NmeffJ96vaKg8WEipkxVi79PTgn7zlh6LCT9ztdvraWuK7ruIPdKe8x00Q9j6fHOqY6KFiNke2uF4XMcVY8d8igGPzKe3kVqjx3ZT5Oc5jGSZpT3IZQXUFrxT178b5gu/4jLVU8Z9tzeJLqsaNC4JnHyOHD5tKJpLZ3eUVwixQJBU1SiTwdUNiwXj3HLJYN5w6gmTi/P6W8i/fQa10ROl5fEMjFEaJvC5uwR2zc/ZT/c8d7TM87OHrPd3VA3n/HEvEGbK0afeO/0e2ij+eOv/oy7N8L8Mk6KTVZliu0bIbyrJN+TOy1cfLxi93KH7RQpGYoXcUHOhTzF47KAdmlZbmraVtPtepaLBe+df8o4ZfZdz5RH6kpxulpydvaY1fqUF9sviGWkef8D7q4OvP7qJaVkLp8sOT9/zERA5Tum4Clx7hFAngqhB38Y2ZHYbnsBsoLGj0Ki16nMGuZvWZza2tkpT9zXs1YzcFskzUobFBpDBsTTByOx7mbuiEZnzDHNl3l/pZJ0P6uxRs1c14xVYJkDQQozC0jPcYFlhsOl75kCxSD/99Bh5lh5paFkRg1VZVktGzaLCmPmnWopGGVo2jW/9tmv8qPvf5/Tpx9ilhu0tZLMFSJKiUNDSpL65ZSbVSz5LT2wvCXca61p6kaofkNP1dQPfPs/72MU03FnaaiqmlIKzjmslSJ+9/75FwJWZ7ZVSol83I8GD7mQcn5YwwjzsmYIr7jzX9NljTWJy0VmbS2v7yPbfcTVmsv3we8D25tEXRLawWZdoZvMqGC8kddgubE8e3rBqD8npwPmYCnFkM8m7nmF6W84rZZUqwWL847b+P9GLTK1tXTjnu1wx64UJr9BaUvFhvXmknW9wYTM5zajajiMe3KEaZ8hAEXhFgrXgr8C33k0mvs3V4yHTBzFV0o5M5PjhfCRokxW0z6Az6hDps6Ws9WKR48+5csvfgk+o5uKlDW7caR/9QtsBU+ePJVCD0tS0gyjp7/dcnH6lLPzx/zJz/6YYSY4oOemlKQx2FjRmkd89uxjfjH8lK+7r0iDwtU1y9WS3X1HyQobv2VxjqqSTmSOKxNNTEKZMhoqZ2kNoDNmLiRntHS62chLyADyz7oodClH5RRWi/Ilzwle0oMkCbgIfo5JGo3CKi285Hm0rLRFG4UyVu61xYkfsRK6oAmJkBSrpuVis+Bs04h+M0lEn7UVn7z3XX79ez/g/MkH2NUlum4oyuCngRADWmnZQ8YovkAIWeDYOY8ATHkHiVgsFgDcb+9ZrlbSPfW8/Zw7rdaalBQ5l1kJE0mxhrZgrXmwPTkivO9257eI5NsdcSpFyCIlPexUSyloK6/B693nXG17DilzeqFYLeGsTVy2DS8rzdV2xLrMSbXi/fMTQt6x7TpCFxlKRlmFaTNqUHgGxnHg8tkPeXP7ivt9xi5bVKmJfWFMms56Vo8fEztx61+uEsYFlGupXI3TmX/y//sZtzcTa2v45NLSKs3r28+J/Ui9UuzuFPkmiZDazIdv1ITrRByBAv6uYI0md8KzVXP8RzkSXRRCdq/BLRTDYceziyek6Rmvdz+h3fyMH3znR/z8i5/T555hmPBFEbp7LAvG168Ypy0LZdisoXzyPtc+88uffMkvfv6cMQ4kX8AUXA0lQY5CnZhcpI8dNzdX7G46YqfE3LwtRJ2k8WTEyO3bFOeyFdhZ2RkZS9D7QohyF9w0msaKkzq6zCe1fehcpDxfxnkYR1UW3SJZOJCmCHH5AVLWehZ2y4haGUkPds7OnVSJZaUxOKNRxsn+KwVJNkORNZhQqGhoqpr1pqKpxPU8IaFKy9UZHz55n9XJCaVakHWNypkwDYzjSArC3vCTpyBoawgJpdLD2PgXDc4UdV2zWCy4v7vjdHPG6mQtAuq5s779/LcobZi7HqXQtBWuqmfFwtuX50EO9w4d8vh3GWtoFwtyiN8gLGQ0IW15ffg5anNH2ffkeMqmXpFDR8mRTy8veHTi2d/voX8PiqOUGp0a9tNA04qp9m7MbElc53sO9/+MD6sPMSnRtkvuuoGbr3acry45/+AjLk8Sj569T5peEfMapbe4urA+O6fvttw8f0WJE08WZ2il+fzlF7y4ek4pFe36B9ju56gwEvdi42sqRR6AjRBEbAPeC91PJYPyoMgUJbxk83CHB+1gdaGpF4o31294efsadOTyQ+jWV/Tmcy7PzxnHE37R/5zdYcc4HjhdL/H6hJQihzzx+usXNK5ltXEcBs20S6RpPgBq5tAjUHXBVIn28QJWka9uPuf+MBFHATbzPjO6DutE7M+fG4r+SxfnZmFnJwJNUYUQE6FAKlAZQ6M1tVGSOHYUD89FKDz22SmvCMr6IP9SWRbjVuEqC0U8Z5XSuKqR9UKRQqycKFu0lc6jpM6xRsZdlPxZcT6ZaYNFYvK0W4iFYjZMIWC0IgRDyoYni1M2m7VoJrHkmGDetfZDEMbNOBB8pKobStEoRlA8OCHYGb09fgRBSk83G/a7HdvdPe1yNiwuR9/ft8yeGMXvR3JZpqPfMSiNcwIkvVugD/fOwgPQZCtHk8UVYhpGJj+SfSZEj0qFKV/xav9PyFPmvDnj5GRJUzvqxSmKjHUnhATb9h6/e8rt7S3WXrLde4wttJuWKm1pTWGxiOyHidQVDodrPnx0idGe7s2Buzcjepg4f2ZZuor9y4rNxTOapmJ/+CMmNdHd/YLd3XP6PSyM4dHJI8KY2A4dU5kIu4it7qjsxGoDaaeIWyhDhgjRR3IA4sPZz/56As/scy5YBmpWPqlM1SqsyZSkKMpidSaVgNM1WM+oBn77N/4NXv/sFT//+mfcvrllO/V0ZeTy5BlttUZNHr+dCEtHbef9tS5YzEywEdWU22jO33Oszh2X56eMfuCrw4EQCilIRKZdaC4eP0UFTx72nJ2ff7vibK3M7wKwyOXVG2HpG8AhcQQC6lRozayQkC5X4iRhO4q3qCSQswi067qhqhwKYREpxD+2KBlVlSoyJhs9d0eR7xxBJpUhqUJShlIJCSAVLdwJq3G2BeuYyExJQmpKgaqu2Zxc0DQtPsJuN+D7a4pB8hunwDRNdH2HUpq2WVDXokNUSqh7dVOLdeJywXK5eLDDLAra5ZLVesn1zRvWm40Q4dXbDisdVMApNY/pKWVCCPJ5QhB+AImAb4BB7xITjDHUVSXigBiJaR6LMUzxjp35p7hlQQ0NceqJW8Pi8RNWixoSdIdbCAdsHtj7F4Cjn27owi3V+pLL0++x3X2BPrllfbKkDIrdfs/JRnO6bvmzX7zh+Rc3TFPh0GbMciKuOg5RMb3pqduGpm5RWeMPW3RSqAAn2qAIOEY+ffYhV3c/J/aecXzB2UpT50wcCl3SpKFAUIT7jEpvgRcFIrIGKZbGIgHNBWUKrrJYJ4701taEKROGEbvJuE2iXVuya/mnv/8Pue8O1MuGR0+fYW7uCP3IjX9BDJmyLQxvEskOuJVBh0JTLYVUkOK8q7csW83JWWZxkqlrS0wC4ZZSyBHxPo6QxshaZf6t/+H/gL/zr/29b1ecxshd0ViB/pPR+FTwSTrTurWsF4bKOoqR+6mzFc5WIrvxAzkK3/LodpdLmh0g567Y1BQKIQRJEJsNvwqQS6QgplVoRVKWqAF9VINostIUU4npmJoJDSUJYKQMR9cwi3kgwm+WLefLBcYo7vqJF90NvojBTAzpgSDvg8daxzhOOOvmzseMyopU7iREzBF5NjJ2aWM4Ozvn0B24unqDtRVNU/PuDHNEcB9WJSUTUyJ4uRocfXXldTD/ueygh66t3+5AMZCLkhPdBvb65zTnAy739NOBGBq2Lw8sPqzRpoDqGcMbpjCR4iOMajFWcba+JGQ4XL2hC3uC2xJCjR1rTteW955c4qcDV4c3hBbOV4bL9QoGRfaBffk5JEMpDjdtWNkFecxEa6jbxOXmMcFtGA6B7f0vcXZkcwr9kGdQReOqTNVkQgGMeANlp9D+qGRSKDOTD5ISG5KicMaRciT6TFKKRVUTIhymCZUTdaXEmT8WYpX55faPaYzls49+k9tbT+1ec3f/Es0B5QoXl4+4/I2P+Kd//M8Yq57zzQmPNu/zi59/xfX1lbwuVhETDLuKnA03r96wu0nsr6F0GlW0+AaNmeuvr6lOW95//0Pef/LxtyvO1arBaqhqhzaaGAqJgSlF1lXN2arhdCUK/KTEhdxqi7MO0ASdyFFo4A9O5fMPsWT1sOcrSlgeISPuZKqi6ExKswuDdpIspo1E32kzp3JlLBqtq3ltkSkpiCdQTpQcZc2jEhYjPrEKWrvAKhhGz+0E216RcpgpiIIcB+8fiPw5Z7z1MEcgaK3x3hOjF3DK1VhnpABng+u2XXJxccHrV29wzvHkyWOcqx66n9ZmpvhBzlG+pywK+ZgjOpoH8fS7u9J3Vzl6PsSO6dx13YCK5EVF0Hf0w1d03tPUE+tFIZbHNCcfkPrIi89/yubSEuOOvt+zO0R8nMBMxDBiDUwxMewPOLckRc/Q7zmpFwyHxL7zdOGay/cLi8fQFsP77hOsWhDur0jtiLaKQ/bEcEWfNU00hFm3e62uGPMd3md2XSdIfREaXJgihx7GBKUSnKJYAVzUID//kycLtMo4F8mj4u5VInrJhlVFYWxm8egEu4Q0BlL2NItC5SoeXS5YVQZdBrrxj8RS5eKvszQX/Ozl7xPznr6/4XTT8nh9znd/8Bm//r2/xRfDT9jd92yWC6qTCrVK0BVKKizXGbeEs+VjVLPk/u5z+u2AH7Tci4tQPTMGoypSKYxjj36Xf/hXKc5Hp0uMgso5lFZMPtH7xK4HZ2vqqqWqRbemAOKsYNEKrRzGFUqZ5LSfSdooQ9IC2kRTEZX42Ka6hVpRTEUxjqIyKltKyRirRQViZdwtM/tIiPcJrSdII7qIeLuQ5CElAxJnoI2Z07g1hpZh6HhZNK/DkoEFpYS5e4sOM6Y0k9kzMN8r9DFQSAs1joQ1s51mJc6BzlVzN9RsNqfEKXB3e42rHBfnF9/ogkfnNREHFJSed5qpEBDd5rtk+HcLFL5JglBK7u/GrMh6zxfbv8+f3v4nXO8/p20nxgBBTbwebnhiP2H/5sDrwz26joRQmILG5yv89JrDkFCloi4bxgk+ufwVumFDWN7RTXdU6ZT7bWGIEeWFOrI1Eyvb81Q/4v7OkKcKtfYMRvx8jGlo2qe4es325l8QDgN4T/AGPQdc+Rlki1EonNaArWb5c4IyyAF/9sGSX/2dzyj+gDMDt1cTw9Tje0UcPTkXnLU8ev+cxXpi2L/m9ipA0Jw+XrNoWnJf8+jpB1SNoq5esO8Hfnb1j7nKt9hqgw8JozO6VWzj7f+fsz/7tSzbzjux3+zWWrs5XbTZ3Zbk5SUpklKJhCULllFGlQuW/WQY8KNf7CcB/pf8YsAowIVC6cFQPdhSSSqVRFEsUqTYXt4mm8iM5rS7WWvNbvhhzLUjMkkRuBGJREZGnDhxzt5rzDnGN76Gf/3H/wy5GLl7dWQ7wiYlVl3jaXtHMgm76nhy9YSrs094ePiC43piHMGEZodpHMZ71kPgl3/lOT/84W/iw+r9irP3XtFo57HWkGzzPek8tnPUziOuU2lANVSrTnyVgDVKAohW28uFEyteW1znPNYFTAN7QhUCapbVOUcqld2oRehNoTcVU0dqyZSSMKLxb9ZZpLyVqxmDugwYJebrfjRjRTAtwoGauXu4Jx0Nu6B5jSKLkNm80zpKU7HoOklq27HaZl9pBGuP+ODpBosPjk0LVsKA9x2PHj8mlczLl18SfODy4lKJGu/sSXUH3KIiTihubaoVR63lRER49xa11ioTS+Qtt9T0HOKfcB1/xO38Y7rNSM2GcR7YuQmbBT/fYMqAOT7Cph01JExfca5CVoNwiYaYCrZzHOKBnGcEYY6Jw/SSVA37YyFdW9K90H+740eXP+Kn8jnryXHmJ9apoxusrqVc4GZ8xWH8nFIjnVdQbBgctkVslCLMBy3EvrcYWxmzYCaDG6Hfrug/XPHo+QV3r++5Pzzg/MxhV5jyjCQFa0wtFGd4+NlX8CRTQ8QY5V0fjkfcVUWcY337wLOL56T8mP14h7GGb19+l9d3r/HGY3xHHWDKA69e3nD7akee4c++/BF/+ROneuZiML2l7Cv3V4m/fPhjVscfUfJEPghmcpis41S1GZcLg4P/9T/8B3z04S/Q3sGfvzizqMlUzOq+N2eL2J7NesPQranDin07xYtT02WMxbmgaGqAbijUZWZvBADv9AG3jpakpaoWB3hbMDUxzZH94UhOgl05emMITjSGTzSOvVr1lGWhs9F0gG2lYpw5BctCbeoTSDlzszuQ3Ia6EWyvig61LXGnVcUi4MayeD9pknTVObDGCOZA6AL9MdD3PV3oT9xZjMH6wKPHjyil8OrVSwyGs/Ozk8zp1OZqBkX7VoRl1aK1J6f29mtzKmqGRvu1WmFK1/zlV/8U313z4SPPlA3jBLfzxN0snBuL7S2PL75LTnvG9DOyZO1EesBUeudJO8v17QOrUNl5w/XNG4pU9jHzcCzMSRgnQ76BemswP5nZ/KJl+7dm6lZY01HHgAkTT7ffYuvWHOOPqXlGZrWWkQK7FHmYC0M3sO0DtezZ9o7ge17eTIy5Em+FsoP+SWa9EXYPD/TB8OxbjxjzA6/HN1RbWCxgvXWsVlusCXz1xS1u02EDXH14gawm6pmF7Yf86atP+fFnn7J6/BQxlf1xz/7wgv3DnjgXXrweOdoD9vUDr77ckXczcTKIM8xzwWN48uEZ9sxy+9UDvbEcZ+H61YF6W4gPhjpVTG1xYBXEOpzJPHp8qaZ0C0vl5y3O2V2ivZzXNVwPWy+cmUDve1ar0GxALE4rAkyz9zDqWiBZQJLuodRHgtBiDKxT4kGpFW+bgbTVfESTJuq04zBDoGNwFjfYprDQghPRdtOgQIB6Jik31xjXbpd6CpDVAq2krMUdg+Cq4HMhpawaVbMoXyonlwcdlk+ZJac9p9UTcRyPrMaeed2Cj7olQ1OoVfCu59GjJ7x+/YoXX33GR3zCZrM9rUr0pm6eqbRDoJlZKxmh4P3XJWPvFugCLsV84I9/+k84mi9wHNk4eHPteXNI3D0YbmdLHzrKduKQfoqkxJQfOOwyWMvm8pyVHZk3kd1USIOhTHvkYeIYI7UYNm5gve359PMdkgvZCJyBOwrHn1nONo6LX6tsZMWTq1/ii+k/cr37goLnLCht7WHSz+U3HfGusN/Dzkbu88xZB5vOst9rRJ8ZIe+gTobDMTLe3OJm2Kw94ZFBsufwulAPKMLvDNU4dnc79sZjvCOIJXQJe1k4f7LFDDvm/ec8HPaYaNi6kcPult14BKdrOecMUoR5X0npDb5XMXy6L9isq8TVKmDPCjmowffup5n5otB1MN0Y8rHdi0tYtPE4L6w3gc1mq4DWO/k+P1dxrs+f4Iy2ggtSKSWrqoSKd7XZglSomVIT1NJatEpJM+RIUHYAixbUWd9of0vGZKW2/aQRvT2cAYchl8IcKzlbiiyOCidFH9IMvQyGXKuyLlzj3Btz2n0KTQnTTLQUfNIipBZyqVijKCdidW4VbeOdqUibi2rrH40RKGDEMo0T0zgT59jmVkWuNchWi805z6OrKx4ebri+fgUGttstYChiVJdYlROqhANdqEuL/Vta2nfdEKCtZ4xe7lO65376islpIrWznmoK1sHjAeKxYEOluoloR7zrSEfhUKAkgbvM+qzHSs9FH+mfVKaHRBoTphPOu8CziwuKeB7GHfUW+t6xP1RqMFwG6IrH30H/bEPXn9MfOuYyshcQ8eTYQpSd5s08f7Li8WXg1esDr//CMNrKB8+E9dmKGCfSXqipuSEYfd/7C0vsCp/evCJdWzjoSJHmiCShSMQtz1UWSoQ8CA+7I+nuyJntcBKYj5k6ZcbdxLTP1AJdr4+z93A2rDhbP2XmwJjvmfcFH5RQYqxGMzzczmRRH22ZLfPLCh1IdCxSDoPgveC7ynoIdGbF8ZA1fCu/Z3GunN5CtWrbo5KsqpkckqhzwdIQsmZ07JxBFuQ0JbVrxbXckbbPrOhw3Ej1Ii0mXdRZXkRvXv0IYSzCXC2hmgbZKXKuO9S3M6I0gkSh4BtjutRmsrLgUVbZI/pxFo8CMLUWsBYrBSjtc0q7NbUIDbozW3yS9NMWbIwcxyPTfEaMkVIGvHenlnWZD4fVit4/4dWXL3j98gXWfou+G5qIwLT2v7X47m27c2qx2+d5F8FVXnEmF/jTT/8l/bYyl8qcDuSU8Dgu+is+3K647O94tdvz5ZeB7159QNevefIkcOSn3M97vpr2hFeGrd9yfnbFZjhw2ydudxV7BEmJ6+Mr9lHIm0oQQ3wD52tHCoUxCmubqdOKbnrG4eGa69s9q84i60vuYsHkhO0G7KpnveqY9gcOt0cevoSHB23Tx0crLq5W1DeR/FAabVMNxDsPw7oSzmAuMEvFr1SfWUc0J9VUijYjSufTmBPuxomcDGnKmDhhxTBNhbgXTDX0g2AzlMmQgd1+JB1fsv2WZ3O2IcV71udCnsBkwRmhjhoVaJ55ppvEfJ2IR03I9s6iu+xCPwjnG8faryix57/9f/wTPvnwe/zar/zd9yvOMl6TcyHnqFIulHmhzbPecrWqRUlGaVOO0DxfhJJLq5iKw7U1X1sDYMjSFvKiwAtFECuQDVK08LX4jaZ1FcC15T2LT48WpnaEre1DifqIo9SqLXZqzCWrt22SQqU2xPStVKuUt6JAvZTkRPZXx0Bdd1R5azRmUuI4HpnnxQ6ltOJ8O1OysKZsz/nlI3a7G16//Jyzi6ds1husce2NNMu3hDF/FQT6pgvCMk103vLL3/27/Ps/+4/kLHj/MYYNwjWleIrzdOuAR1lSr+YHzP6e9aojyhFjBTcYtv4MouPN8Y6VC+SDJc+Vu4Pgq2E7CDUIPlpkLaQLw/i6sEmWbgP7KdONI3z1I6XdDbC2Z8ySua339GLY+MD+8MCre4gPwsOXsLtVRN+ew74/8uO/OHD/p0KNFvqKbegtESQa+hZelFeGKWbiLLrkt2rsZqV1Tm0OlQx2EsIM2xWMLkNsochFvYwkq1LJJEORSqJodsrWs+56bNEb0nnYbFcELrgpd+RYMccZ2VeYDKXqTWCD4Dvw3tE7T88ack/F8OruwH/3X/83PP7HT/jkw1/7+YuzpiM1V3KcqVKU+SMdGG3DqmjbmSUrK8eCzeCcErKnVFtxFJzJbd8Jq+BYhcU9Xh/8WmtTtOvmTveJFUsli859OpMZrHgMhcxiLGYQ1DmhNLaztsCWXPQUleY2g3UahVDBpkxJhYpprn5qWryw9Y2xLOZm5p05dPHYXdQhtRTmOXI4HBkPI3GzUeeF5u5gTJO7tQa735zTrzrm44HXb74kXzzh/OwM5x0Ui5x8a0ubPb++Onm3pbWNKmOtY+UuuBye03Og979KkUSa/3u+Ov4luR54cv4xu2PmTdlxwwjZcDw6wqARGR7og8OxJcYD13Nkuq7EBDXB7Vy5vwMbLJte8EYIoRAvheNNhXu92XYmEx5N+OiQSTiezRSpyKBOkFvX0VXDbj9zuBMqhm6jkQqdCPOXwvSFUA8WsxYaI4/VhaN6IR4rd6kZfk2C2UPZ0ex42sBTFQFXhrH+XjnA/pVQbUW8MO0jjAanTR9Ug7hKiopYKzUPDtcZghBnw5w83hQk6Ohks3C8jmoOMEIpVoFP4+iC42q7RUrVyS92GONwVv+O//B7f8S//bf/gt/6jX/08xfnHBXFjLmQmiGPdSraiqUy58xchJQrsSihPFedLZQ+lhvQkluxGbrgOescV+uep+vCxcbTBadWKAJOGvHdWHAe7w2YQDWeIhCLytNyzcQijSWiplzG9MpPdf7kbVsbudgtqwdnoVbShBpL16y716KFcMqBYSmANrs0PqsiuU24JoIYdaSPc2T3sGez2nB2dsZqPWDt29YWFDijJZtV0+NWBrcbefX6S3JOnJ9f6NfXBlUtTr3BF8QW+NrMqemDOrV7P2CMpZMV33309zhbf5sXX/2UaGeu72/4zrf/Dr5c8upPfod+K9S1MDX3u/WggVLYW7ypnMsjduE1uwthfAU+GR5bS111PNzPqjjpLBsqxUN8JJQDpAMcdwYksT0rdOLIuaOzsLFCcZnbw4GV9HAw5CgEq/Q276HcCNMeZDbUWKFvCkLlriiRxULOlpCEem+Y36jpFxa6ldf3c87q8qg8U7ohEHp1u3v4y0RJqqxyVjS5fOXbes8iJpKLmnYbXwjF4sYN/bnjfPOY/asvScdMlDvmKWEmp6FEWSMtpQi2Qk8HSS8Ta1TVhbGKI6AKnn/2//nn/OP/219ff39jcX7xkJhL4TBnxpgo1VDqTC2VqUBMiZITkjXugLb096blWxrVcnpnNGcEzzQldmPHi4fEo37mk8uBDy5WrLwuaKM4KDDXSqbDh4q3A8Z1FBeI1oFtnqauKlJsHV3XEXyPdwYxBVOFXApTqkg1zYHO4U2FUnSxnaOCLqa1qrVSG6Kk2aAtn1Roc+vitFdail9zsK/a7h7Hkf1+z/E4st6sTk7si0zsa4JpUdrdk0ePud/fc9jfUEtmvb2g67rWQtd2GLxFaK01b8Gpb1iWDN0l33v+X7F7uObx5Q84HG/xEiAfKV740y/+BVmO+PNKFihFIHouug+QdMt688C2X9P5nmNJXJbAfl2Rp0J/b3A7OMSZ5+cDg60cUmK/s6wL9J1wFJgNjLOQ9oYSK+fP4eIC1udXhFwQK9yQeX0/kWY0qGk2mLHdPJNBklBnQVp0pbSJaMwF4xuSilAP6pzeaFJ0g+WTHzwnGWHa7Xl4syeOIEbISQGfOradcAaxhuFi4PHTS9abNdY7Cpa7h1ckCmePLklxxGbBOAUMx/ka8ROr9TklweEmq1StanekF4BhCJ7gPKXUptFtBzuarWqLINbz1cvdf7L+/sbi/J0fvWlL/6IzloAzlmDBO4OVysoIQ9ABODRH+HXv2QxK2rYGgnEaqYblEBM3s+E+Cq/nxN3rPbfHwkeX52w2AdOFFhKlkNnKG5zr6PugkXzeKUK8oKa6QMHbirMT3ui8kHMljpMqTMRpTKE1rFzBG6FkB67q7WkaWcFaTM3KIjLN1R7T0soEkTbgYXXfKUbR2ypUCzFGDuOB47hnmgZWq14LbZmLm9/PaWdpLabreHT1iP6J8Or2DfcPiYuzJ/jgGhEht79brRdr83R9d52iB4Y014ZHfPTsQwye7foJ//lv/WNeXP9D/vmf/T95kX6XqUysguf1bSEYg4kZb/a4UNkGy1lweBsY+h4ZE+M8YdeGcazcTiADrIYObwXnKn0SOGQ1bXYG6SBZvREfRkifV0q/56t8JJvMGjWRNqXF9xW1xTSjUCZOqhPa3EbR8cGdQf9MsQWbhM1gyKUjXheIGbxgHxmOcmC8nTG1MqwD3hmmOakJVxEkQFg5TClcPd3yK7/+Gzy++pj97S1uW8kGpi/vEB6Y7A1hGBjKmuP9kU0NHKd7DJVxnJje6Jxpirp2mFaQ3hiCX/RgrQuz2m1J1Ta9ouSZKb5nPufjIREshGYa1QfPqusYQo+3oXmIauq073qMU/TQO9VfFtGTSBk2gc5a/NYylMyTXLmeMi/vDny6m8BXPu4s277H+Yq3mT7oYeCdkhOc1RtRzaPVcd5Y9QYqVUGpuWpLnAocp8g4Vop4il/RBYfvqvrQFE8hYmoGnIqw0dj75eEHbWsXY23b1jDLi643oO5bTWP0zHNspmdKavia7vIdo+jFFExvRUcW+Oijj7h/eOD1yxds1uf0w4D1zZwGLc7SEOoFJNLPbzT4t+/phjXeBYoIRix/8ekf8pcv/4AQPiZN/5bBXPC9x5ec9V9ynEbMttLVGzq34cn6+3g7M6eMqTAgrA06860MB2cwFd483GOs1pCpwmpt8dZj95X1StjNlUkgZcPhYBj/vLCeCnIBeww2w6bC0Anr3vBwp/VVtPGiFu0E7AbMAAwQnqJz6Shszg2XvWM/n+GfwMtPX+ts31ceDg9wgBwr3RCw3uKyJpG3ZQO5VPorAx8mfjr/AV+9+ZRymEnHHf3g8GcBHy3zlDnuH7jfH8gjvP5ponYZE4R6nJCDYKLBVIv1DmccHoO1C+nFg5hGN4VqK0asdnLB6kyc3pOE8Fvf+6ihm8o+sfiWQu0Q0YySilN2i9e9lW4erEawYXFGvYaU0qYgwoaeKokuJJwNvOCe+3Hk6lDZhkgX1EnPtCh6b4y6lBXRb7QWSlbrEBolr9aGDhtVhSCCbSCUgldVaYRGub8g1JKJMWGs/llj1GhaCUHNYU/qgv2c6MF6VaHtrFn2VLr/ijExTZE4t3m7taJvC4m3t53TtZEIJBFscjw6vyTtD3x1+5LL82e6C7UKDtWqlLd3XfqMVdVNjDM3tzdIAVl1DR0u/NkX/5z/6cV/y31KdFth282IvaczghschkxngFQRPMVUunXH4fCAc5krZykmwKPMsKsMB0vpPbfHREpgJqBU/Jnh6tJTR0/nI/e1cChCNJU6wvylwYtQV4ItMLYYzeADtmqqly7/oVvr73VnhmKE3GuGsMsGH+BsY7j91PDqz+/I+6zvSwaO0F0EyrpgO4MznjRXhQudISVRUsJWePprT1ifzczlyO38JS4ErBEkRbrkqSmwezUz75OqSqpFYmGzFnpvOEyQZ6edlVvQ9MVP12JqM123+v+gvlgiILaNQs187L2K02+f6VqCZpEPgCXGxJgSwQfWqxVd14rQttkMaWYjasegt0ui1gQlIwW8JNY4Hm22zNlyd/eK3eGGqy6x2fZKIpC3beUioaooSiyttTRthSKit2dTiGFEb3vnBcmqAtGBvy3xnSAxU+OMeN0t2uyozlOtFqo1riXztVXIO+CMoNC/wWkBtwJdIvjGcWrKlUTXdV8rzqUdrbU2J3JFf+cojMeZ84snrLqBF/c3xPvExfaC0NrjhZh/KnKBEFR8kGJis9qg97war/1v/vb/nWMp/Kuf/RNur0fuzJ6+37PdeM6HQE1CzI4gA69f3nJ2JXTBQRcJzrO1kcMccWvh4hcM5Vaj3fsqZAsFg5khzpXNZmDcFeINPH92xq4bebPPpFpJo1Bewvo5BAdrD521pLlA0dvHmIoftN11RnAdxITK4GZIk7C9Mvhpw+tPD5SiD7oxmo9SY0XGpF2DM8zjTJ4UDcYI5hJkXfEX8Hhr2JytMOacm9uJu2nkeB8p+8LZBl2N3SdqhRIrpEoIhvOzgI1K0/OYU9SF1c5V1ziLpxa5rd48p4lI4XvMgvjb98znJGxxAt7oLtOKzgrZJGJM9NZxHlA4PU2QRBX/UrCmti+gsX+KYKSQqwJL1Iqwoh8s227gzvdMca+5iA2lBK+8WFluKk0wk6I+RCkVjEPNlWql5HpKs7au2eN73ZFpNAQgDmt0vVNLpORR1fNiKLVSaqHUqMiaGPV8bUWpIFFtpIklcMk2IblAI7SPkxZmSnp7qtHz2xPS2mVfuViXaJtca6UYxyEVLh894e985xP+5Ec/5dX1a548evK11czb/acjeE/JqZ3ijlxVuVNL5WK15X/5/f8Lh53wR2/+Kft6z/HBEoDLR4aBwHjziO32u/zsxc+ww8xqfYYVIc5qsV6r+rPOQXDPDD4L2yYFnAv0xjAdhC++OrKyQuiEVz/eES7gbCXsNNGdFXDlDa4TNl3H4Lb43vLxWc+f/OE1++OMs4JrnjwlgzijxmV7kB72d5U3b/bkBGYluJWh6wUXDK4D4youG6a9UJLaT/qNsPqox24th/3McA5jfEmee1b993nef8jN3Z+yf10oD4W93OmNl9VQjE7f68FDPlTmW50XtYESjELwbWXW/KKMaVt6NbbzLKtAHUOkXT7vWqH+XMW5MnP7ZK3IaiGWSJ4PTOMBV7fIRpeyLo6UXHT5bwzVtNgGWtKwLCG2WUWxVRAi1NqyKi0xaxhQKUFbgJqVDWQLhYpUUbF31jYo50xp3h5LsG5wMHQDPjiwjlyNehk5oRYBnBa/gJECOWFCbTdgptSugS06L1ah0fea0eQy31udAzXlbzk5tV3OOTHOY3Nh19fSGFpBa0EtXrdK12tkDlERca3Cwz5ixPPx5RU/3n3OFy8+44OnH3F2tsEN/clZouaZh4cjD/s9V5dX7VatVClIVT/ZdCz873/r/8r3vvgOv//lf01eeX76xad8/uXI4zPo3RG7SthBkdY5qyLJO0cUvSG6Fg1vCkxGuD8K06QFFBtyPZVENbAaYLM1zLOG1/rBYAbh6iLw/HxDdVHJLEnfX+kj5x9Wxs81yMhYmCK6KvM655qq48rhTWEaQQKYADjB9ejBaNTPuPOC+cTzvcff5TBO3NSXXF09ViFFjVytV2zP4VgSX7z8GfNLx+1nB0Vy207VGkMYGonAgOkNNsF4oyixMa695xa33IbmLfijemP9PSOaFat2Wo2qKQ4x5f2DjILcabFVUfjaVqpMUPdInjlkQzpfsek7LJBr1fawXfULq3UZ8OtiPoVAKcwItWurC+/YpcL17kCRSOc0drBIe7JR2lqqlVxUGXJyLmszZy1KRvchEVzA+UDBabyDPZByxdWA6aAWLVokUkNE7EDNhWoTuXkTeaPEhmrMqRj05W3oLYqcvrWpfrvyOB1GuZwkX++aQzvnG8FdqNW0mVKL1/tAzplXN3c4U3hydY6zOz578VOuHj/lO9/+NjjDIY68/PJTTCp865Pv6nuFvg5pmrm+vuF+v+fq8oLzLvD3L/8u5e4n/Jn/PX7p2ysMnpwju3zPy9e/T+0T54MmZtc6U6uOS8YaXBLOJthPMB1gyoZdAZmFmgWf4cwbhk67lLQF5szaQ/8I1ivP+ZkF9tgK1MKhRPZ7IU2GaITLjwx1NBwmYY56LUgSXILpHo1ZLAZ5LHQbvTMkQo0GF3RejYNweG74/qNH/MO/93/g+os3/Hf/8v/Fl7svqQGGreHi/IIaDTXdE9OOqd2wthfsxmCsYJLSVlynPG9GoewD6agUGWNt0/a232/4iFEunGp+0QNDye/t2bDgG8tsoYS+V3Fa2x5gU1QtssydjQifSmHKlTlpUc5zJuW4/OHTw1pa6lhOmRQTVV2CmS14nylWU7APc+W6RHLJ9F4L5ISKGvM2mb0xhWhzlchyv1e9lbPygclCFqUJVmOxyZJSIQ+BgGm2FhGTEzX0FCqlJES6tvbILDa6xlh90/RVPr1GSq43bZcq7UY1X4v5U66s/JW5891iBqG5fL49c4CYKs56njx/zpMPLdYPPHp8xXa1JlP5d//+dxiv7/jg8UfEYpiniWkcedjvKSXz7OqKM1vg9ae4ccfz4RF/NL8iupGasqqGsBzmhDgo+YY67ThbbUl51pTrovu6/TGzPwiHxmEN7TbIrWWzWGo17I6ZUoR+pcUwnMHVpWPoCjVX5iiEusInIdis8e/i2R+O9CtBPJSdIRXdH9YHgX1bIzk0aj7quCNJxdnx2PbQHxnMCiKJT1/9jNf3n2L7SjmAT2DPO/apMt4cuX2zpzt3bPsVZkiMdxGJQn8G/coQCvpeF0NJlnnipHZSS/OmfTVGb0/scnG2NR+N9ol2Ys2PeZk/dVh8z+JcksRqFUpShHSKMyUVbK2UXLjbzdQSiVkzVEos7UZRojsGxFRstUgp5KLLYEwlO8OwydANJ7AppdJUCBZcBh27T6ZXRtSfVSMFlQcrDQVLoh4+s2igrBh9Ca31Wrwl8ZAjMXm2PrB2ATGJEieM66ntds456Rtt9d/CAjIpIX857fTAbMPoEvS6tLYt1r5WFRG/ZRx9Xaf59s9o61ak6sxujQIeIojxTFPlyZNHPP/gA8YU+Re//7v8y3/2z7j/8gvO11v+1b/+H8nimOeZVArb7Rm/+sPvs8kHuHsDeWIuEy/TTzlbnzGOlkO+JxiwImyCZSyVaRIokXi4p1ShUJlTYsrCOOvKo4rK/bpOOxvrBdur2dpEJQ1wudlwthasmxBbeTjOHEeaez8cpj0xW1Y+8OzZt1kNT3n15UvmNHJzf0OaFcyRg8rFZLHzaCw1Z3SVZ1aw8oJriev5PDNshLqe+PPrf0WZR4YzOOwN8WUllkydb5lvM/NO2+Crjx5xPjhelBesLgPD+Uy/Emys1ATTDcyjOuy5hi94u+D57f1rGTzG6O5bTFGFVdXnsC0IMO1JMSJqv2Les63dHyZiysS2EsilMsWZOVZiUbXI64cju1lwdSLHBEUfLJobvLXtK6LqTCcqvrbSbuWagQbk2AY1G0MVq1xHMeTlO2qsmSQVEUfFt5NM4+FZkDPncN7jQ0fwns55nPHMKXKYZkrKrdUFpFLiEZyn2J5StMXGOWxpzoJWmUJWTDt4/uprZQxfa31LLjqDl8KSxv1uIS7aTGUOvU0Ns3aZQc0J/JGqjJ43b6559eYNv/9Hv888Tzx9fMnu1VfM48RPfvITassXXfU9K1dYf/UppYxQEkUKY9nRG8Oz1S8hQ+R6/xPifE0qCRMs61rZVcPhAfqVxRlhFuFuEvZT4wNY6FfqHSsGpWu2mbAYdRPcFsfH23N8icQaESfMVUg64ivPNalC6T5V7r/4CSv/FRfrDwhmw7c/OufphfDjP3nBq/1eJSXt4UZg6Ay/+cPvsZsP/OTVV6RkIVc++tbHpO3EcFk52j21XnO28Zi7wP6uUI6G8rOCKRl7YQgeyhq+ePkFJlpWV571RUeUiDFJ832sEAWyE+gFbEHXmKbxtJvEsfk5qaxNLxBbBUyl2Ebds23ulKwMsdNu7j2K88u7PTnlZfBD0NM8F6NetFKZ04w1MFh5+wWiX6xBPW1Pr6yohEaqbUComnDpSsQi4kklMBVLMYbarAWzVAxet+He4PyAc4GV7+hCh3eW4JUy6L3DeoM1Du+t8iYxZClMc8VLZJKKI+qOEaFkvc1Nf0YNPTlGvAtU61nkbMqUX15J+87SM7ebVKVosoBf0tK5Szm5xL9boAuVT//fnqIiQDDtNFVubibnNrMKdN7xm7/6a4QQiLUw3e25e/WaMWe6MHDx9BG//MEzzqdryvSawyrQnXU6UtwV+nKFE4vtz3niKvtdZhShcxDlmngU7ouhHAybzZoiE0lmxIEtwKxGXLZAzc1poin9TUt/C1Z4efuSMwfbdY84wbpCtUrXi6URGNDZq5CgCiG95CI85/LsCa7uefTBBXdv9jpLT5p/aTqwG9jJgck8cHFViSPMD3Cc95x/7Pnk6YesNjDNr5inPflVwdwUZIbwWFgF6B30j4EgHKdKcGon8vqrO3CV8w8Vd533jum+MGGQzmhxBgMxI1mfWU0xqBQDjsV0rWmCaQeXW9pctJMzpqX2/Ker828szphr2ynqgKtOBWBqIS9znkCtRnNSjArLlo2oETmhqSrjUn+h1PYS1XhcdXhlEyDOU81A9WuK05PGAME7VsOK1bBi6Dtl+gRHZ10jFCsLVlUsQC1IS+i0VWdUU2c6KZx3GZdnYjKIUZdAUyuSRkoxyCBkZxsDSaMMjV1eJml823dkXPLWWmT5vrXVljZv5q8V4jdzT97OnIr2WSt4v7jyNbG3a2T3xgBfr7b0XUCk8OTJE0wR2O3xoeO7z55ykW95FI7U48jx1T27cSaUisw73ON75DJRnR4SQ3+FI/JwvMFMjnRfGYqh1sRLKeQzYXgMQ4JyD1IM9mhI+0qahDxCbkjpglb7Rw6xmQoEP3C2/Q5RbjmOrzgWUR5s1+v6ys30osG2xzTyi9++4nvPfp3f/bf/jmHtuXoWmFJiPhjsyrC+dGyfGvbpJSFYumqJouDM7asbuq1nFyL1wmJcgTqzelToLsB4y/PvDTy6OKemiVEewBfWTxxTTty/1kOjxzDdw/FQSQ/Celjx3d/8Ptdf3HD9+UtiqWx6wdZ6CuS11FYj7UlomwoF/RrW0FYt2kVW7SzNe3oI+aogUKlNsoUisjlVYtHh3wCpaAHktiQ3GExZ5sSWaWI8pvngGqORDd5ZQj9gfcDaSOg9W+u5ON8wLAldzSP2bBgYOts4nctCtxHvi/6XNiMvLCJrBeN1X2mr7l29K9hV4Wg7hbdb+0idKVOm1szcXPR83+PeQV/frSvTWlwVe751J/iahSWLGOAtSf1rcq/2sd+M/hNRL6NvorwV3aVSK7UUDvsdMSfC0BPmmSHAOr5mff+CcT9zdnbF6vwDZj+RxiM5V6qZGccHfD3ineCiJ88P5Icjce952j+nC47xxWsehkryM6tDxe8tdrTMozCNlQTkXuevPIMJllQMdlNwXQaje8eUHyipw1IJNRAkkYrQdZ5goc/a7UjoyHPmjz/7d/zpn/0+V5ffp04jrJTBZH2bbYMwHwtX5z0ffXzJZlvZ7fbMx4lULDFnbu+PHMRzdfkc7zqGzWs+/G3L7mA4GzoCjuwsAY9zhjAM1HGmFmWUdvlSOwAAZ2BJREFUSe+I+0o5GGwHxc989cWP2d3PlKQQdu4sQQxuOZKrtHhCQUzDKd6+o21vrvOn6nDbM/K+1piHWeeCXISyuAdkpfItoA/Gk3FkiQjdyfHdeov1ls51Gs5j1P/HeYs3HucUnTShZ7SObtYIgvNguFpBF9QusjrDpnOsfcZJIk8jVYoaiHnl2eacqDk3gS0nKxErFmMCxjikqO7WWMeq137/OENMzf7CGGqdKZOA75j7FSFnOhcahFoAp/aVp9uaBgY1xlJTzBjXfo7GLbwr+3pbgG9//m5KGby7D1WVg7Q3U7NAtDtIOWOd51sffsLxOFL4gscXZ1z4RD3OBDswHUbMbiSmSJlG8vFIMJXh40LhlikeGA9HpkOljJZV9zFnV99juD+w+8vXrG3ieFVwN+DuIXeecuHJFzD6zP2USa6ys5Ur6wilUKNh2AqExeazcji8xhlLzu24GiD5IyWoYskYQ3Ad/banP8+qHgp39P0DTwfHw31lOlaefOhYbyq+Wh4/vWB7BtZENmvLPDuu7xL3B+GQMnZOzIdXnDlN/N4+K7i9pdwfOMpIzJHVueXy6pxcLdNhphbD6gzOLiv7L4UUlOAQfCHXI0FQVYwU7LRwnpfFmu4vTSPriJj2XOmx2iyTdXxr4OZbnvZ7FOddNDrroc7p1gkhOEXLnMNi8VYd0J1v6dNW6VfeGZwzdNbjfCXYlqkiQvP9wFlPtnrTBQO2ClXUf9ZXS86GmAtr6zDBIDIhaa/CbxNw0uuOs93YuMbPWAgDRp22wVJtRorgjKHz6hifsiMmc3qRLZDnSKx3OOcZ+p7igy7Mjd7AVezbomxLaGua0bVZWtN2EDXKYAge575uCv1NV4N3f30Bl96NYqiNvVRFiDnjsU1g4DBUgg9sL57Qbz3pix/hpFLGSs0zJWfKPDPFTHhd8C88+6drSronxSPj0ZCnwOAt8WHH3c2P8PnIxeeOi2yZEOZcIUeEhFjH5W885dEvFO7iPf2U2E2Vo4Epgf3KcnUhbLeVZAzpIHSukBBqMIStQ1whA1HUi8fPR70Aiq4e7PyAq4bVs4p9ZJi+FB5dONabxvoyN+x3uaHbUBJM0bFdPWPsH1j3Mx9eGKx03E9R1U0ixJwoBYaV4Wzj2PgOQ+XDS7g6E/xaePLI4n/QEY+ONGd2h8j+ANPacFgJ3FtIuv+vjbvdvBObmMbiZEHotZ0VqadZVOdOvnYg/9zF+fjykgVJ9c7jrSNYR3DKfdRTXOi917g5I3rDGC1A6wQkE6zyKK01xJzU4dwI3gSs0dhA60AacmnqjBFPrZ5UC9OcWXUO3z5Gipp6LXYoWNMc/0wT5OptI62ltLTMzjYTyQJAVUCaXt5Ao9KTpwP7ayGEnq5T8EntVFDj6urQxG4LVk9C22ha1lp88ISgJtgajht4N15hKcblxzdXKstNqsCSEi70v2qOVYo+6CYoWBZjwohhPIyE7/0A/4Pf5OGP/j3O6iyYciLFmXkeqePM9g+F+CvnHLsduT4QMmzeOMrrF2T7Ff6Y6B4sNumu0WVwyZD01SZSePjzG37tl/8rvvVdwf7k/8fB7zlUw0N23B4Kr65h2sOjZ4ZjrBwLrHtlgU2pUCqkZCBr3xGlEgv4DlZnMH5umO4M/XPwFeZrMDWzuRT6DvouQWspazakrDzcLlee9JcMw0jJlftj5G6CM68mW925IUV9bec882b3El/AVKF3uhM/HoWLAKu1p+sFfwbDCPMKQgfTvSNWPTiXd1FoO0waQqtvLABONMFdaDRPaMwz+85n+DmL89m201WHZKxJOIrqMxGkqMDaGctApzvMnKhS3q5FluQvZ5HQYducEUUZ/MF7jLOEusxVul4x1Ws7ai02v2UYWWfw3impQZyyMawj+AW+llZARmF9murDycnpzxhVpZRqT22IUE8kerEVSiUed+zvblmfndN1ncZIoEto2kpB11v2RN1zVg+w3nf0IbTE6tBQ16+7tX/zx7sBRYvDXm2G1oaFcVJPsP3CmvI+ELOq/kvJlKnQffeHDCVy/yd/QCiJlDNTTiQpzPOEuTkyfHlUOV53QTFC99ri9paci3Kki+UISOfZPjvncrVBOsf9YeK//M//j5x99/v0H3zErs6cb3+d3/vj/4Yw/Zi1rQwZXk3CeA9HKiboSHEUoSYlWcSDFoEz0HeK9HZrODuHyydwfWc4fFFJnyueITPcixpOd2vwTggqhmo4h+dqe8lv/tJ/wf5Q+Z2f/PfsrOP6GLEroRdwFTqnxX2cIM5KDTxW3dbMnepypxLYpcTTR5bHl5eEubLdbvBXZ/z4J6849lGLTFp5itJV9f9U56yxXAsWq5xzxSG0iK1ZRp73vDk39QBSMW1PJ9Bg4wJVH2jrewVVXMXWjCkFi2k3W8vktE55rGLxBrAq3apFi0PdE5yGErE43CmRG1O1JbUrvLWIr22IdlQsvvXvhdyI8egOitJyOQydtS0hu91ShhORfWFwLGipMTpTYoTjcc90PDIMW92jAlaa7dgi/+GtIsUYwXtL3/cMfY93HmfdX6Hu/ada2uXfpZ217et+92atVZ0cAKRWuk7DROY4MseBmBPd6pzwi/8ZTz/8Pl/+/u+QX3/GuLsl7w6keWQ+HrEp4bKwzWcqpC8qUFj1K/zTMx59+0M+/Na3MF1gTkl9mKQQy0yqP+P1H/8Jt//myPXdxPnzT/jtT/53/Pj6J/zpp/+acnjDRRXoLXIodMETvCfVzDFlYobUXA68V65JmMBOBkZhenDwFaynCoujnkDOcEgwriF4g/eCGxqTTQo3x2v+4rP/N8dUefT8AqqlzMLQKWg5ZzX3OlvpymcqQomOQqXrLFeXHXYV2aeetFojq4IEA2NPnRxh/RipBxYrVycGo+RqKqZ5VSlzSN0U5S0GgmCkUkWtclqfhfsbKvBvLE5TVU7Q6l3J580/pxqgeaEs9LbqGrorC0apX3AqGuNu2xY7Ik1qYzHeMNqgpyNKbqgt9KVzkGtDZ6uhVpTuZLU4WE4eo9QoKwthAGyujYGBEhYq5MLJJCxmS632RKCyGFw7KkrT/9Q8E6cDpc4gfft8CpIprU8nDcRg3dsW1jv1o/FeLUEXMsFfxwz65mrl9NrDaQXzVz6+jTOaCaIt9zyPzPOacZ7pV7N+yOqCb/2v/rfsr1+xffk5+09/zO1Pf0T62c8Yb+/Vtwc1bssm88kvfJ+r732HRx992HbUCugMKSEpE+eRGYh1oF/1rPsNz54KsVR2X/wRHxnP6uz7/OXB8rOHa96MkWgt3hauzgLWeMYpI84QOiEM4LxBZqFMhhrBTIbpjRo3b52eQ7PozUaFuNOPmZ1gfdN5dup/JOKY1hbvOip7fMiEJJQZ7qIllcp+ht2oFLuYNHIC0dXOWX9GtdcU2XF7NLwa4bXZUw5CnSDtrzl8YSg3XhUlZkHt2573HU6BFmo78IWWX8vp/Tfe4L3l8sl73pzOG23nGqHaiH3rtyPaFopRyhti1eyrGnLmFLKbqjAXocikLnfaNennd4a+HxjOeqYEDk+uVoHR6giGUzBtEqETXfJa66m1+dm1iyRlsFUV71kgZ8OYDSYKNgtSCgmrLVBFi/sEY7ddrNHvz4iea7lkpqMG6Pa9tuuytKf6zijx3SlZ2jrbHAn0337o6Tp3Gv5PhfefuEV1fVJPgaxGOEU71FLfWccsHZUh+I5htSHnwjhOzPPc2iZtq3KG7uwJYfuI7ce/ysXfOWJchTxzfLjh+Po1HHasb9/w7PkHhFwwOdI/uiTGTNrPBAxRCq4aQlar5GwCzjqKhWSF7dU5iczVauDZ+pwf7m55cf2av7y+42UZeciW1bBijpXzDazPwG51Nz4dJ4qFGcFMNFILdCgDqTf6/h4zGgEZ1UCrWqg7sCuhbuF4KPinictvn7M927Fylg+LYbczvHxl8KHSe/DWqK3KLJRiKAbe3M/MKRJCBafysDIJ+2tD+sISipBESHdWyfcNPV9wjcrSSWmEiTENxxVaKJfiEw2yJfSG7WrFr/3tT96vOItz6oze9pxJKqkKqWqbkKuDqLdPrIUYZ8ZUiaWScqEU5ZjGpPxSqaVR1cA5S+g8w+aMx3KO8yobO6bC7SFSalFHbGMxoTDbrOJpFMUtBcaUEWNJRSjFnU6zxXAro1Q+i1NCg4HQe5yxlKiWnlLK6fBRgEkNNkHbkRQnUprbQdSKsOHiIrrNWhpj75wG6/YD69WaYRhOydQLMvc32VyWopxhaYLqxdqklsVfVw+rhB42zloqlmE1AEKcj6R5puTSslcUOFv+PnGVfqPL/+x71n7N+vJj/BefshlW5DhyeHgF+x3pzWvM2TnVdUjK2Gp0bjcdphblGVM0zsKodKyzgd4ZVuuOs7Dmg7NH/OLzO17v9nw+HvjZeIe7gO3Q028s+fHA5vGGz7/8MdNeyMUic6UD1afNjV7tGnOuM8hGFDPYC64YtrNgjlCPMGwdpqvE8RX9dsuT4QkmHlhtIk+/s+b+4Q0lVmJU8v5uDzUJNqCGX/eKb4TBcPYE6t5QPjOUV50a2EnDUrCIyRSjLo8nrKMxx+rp9JQFgzytwrytrNYDw3og55lf/41ff7/i/OldZM6F46yL4zkLsRRyquSqrSYCqWRSyZCUapZrobG2mzSmZUU0E5fcci5D6JAMaTthVwMVYTcX8nGi7wpDCAwe+sGx3RjmKLjFmcAZqA5ntf3COyUjm0VFon+jtwZnNP3Moto6I4VRKrtZKLR+Cf117daVB+QAyZE0zZSa6UxYpgf9x4ImjSla7ENg6AfWqxWrYaDr/NdsNpcff8UYmrekhHcLdrEUFft2Dq3Nt0kaGGExnK80XXu/OzLPkRhnQginuR9RiqLz2t5jrJp3F0MYd6xuXjPWmYf9HfXulqu+pwRD2d8Q/IDr1hRj6HxHNhUpAec0BDlW3SNaqaphNAbfdQz9wFw2rFZrrh4lPsmJX5smvjpc8yq9ZlqPxPPE+uzAkyzsBsiuMq9gvgV/MJQobBJcXHhWT8+YDdzZHdkWZgzdJJwVgyuOYxV2Z4bbsdIZWF1t2dpAlplDmajTxMYE7LBm4oHkM3cZxn1TkcxKsO8mx2gViDLFkg5qIG6Me7vbVnMeFO+0jdWpXVRFZ01nGg9AVPuJqXgP5xfngCe4Dcd4zfOn73lz/t5fvG6hP0rgliJfP9mbhEw7vKzhp222Mqi5NIvUyqhC3OKoVto3VCBFYpzwXaBiicWTjgZ7rPQhseqEbqzspshq6NmuBrZ9x8oH+s7ReYtH50RdZRic1d2St23/VD21JnIWaCyQdNKD6p5KpE2eUnGicXEVoaZMnCZSzHR+MZ62VCMtvUx/hBBYrQfWm4FhFfAB3jUKe3d2fPfn3/zxrj/QEr2AvF2v6G3qT/xb4z3DasXm4ozr2wfGcdSuQxzGKMvo7c0rOOc19TklVe589lN24x2HecLEyJOLj1kNG+g8pU7keea4n9SGptk/dsEjVtVHvevbyq8gUlj1a+aYqaYSpCCsmKVwJplHceKDqytG+Q4/zp/xWfcZcMvlxuGL8rPvHdwfK+FaeAI8OfdcfvhdHn3yHeZkGe9e8tXDj9mFPXYD/WO1QC09DB+d8fziCbEYalrxl1+8pOaRFAvyYLG1cPHE4jrLWCBPIA+WOFd8BJImBRjjKLvlQlnE1EJZulLDaVVSzIJaLIKIRkqRtmqxGq7U9T3b7cB6teFwSBz2ex4/v+Dx42fvV5wPN9eYxkhRvqBpJ0LbwTeiOwa8cfoGupaOtUT8NdWIPvu6D1SOoe4nbQh4py2ljn4GQkCK0HnDthNCX5A6ksaZYzoifQ/rFSYHNXJqwJIxBlsdzleMs/jaxKzOUstMzNryOTylqIys8NYfVr+ZJV1MRdS1ZuJ0oJaZWnuMuNOsudyIzqlv7nq1ZrVa0XXKilrWIUvRveuY902gZ/nvN3/+rtft8uvvuviBBgP3fU8umXlWPa3ASdyOURcBYTEK0z1zkEq8e8PhcGDjHJdnT/FmoPiAXw14J9ic8JuJcXdLzYKmiIPzjmIyrusJ1iE1keNENbpTLqYizhBTxNdALgUZPFkK50bBun18zXHeM05QHgohG84Q1oPlg4s1Z8dIN6z56Ae/wbPv/CK7l6/5M2743AoPFZ6cw2bQGHorhjGO7F7csRfD58fXpDIhY6XbQ3dbcWdQf3MiGbh9A+MtMFeCUV8jG/VZsFWJK3LqYLSjdc0daPlFK4bakuas1uoyIenzzNvxzXvLMKw4HqIajbnEd7/3izx+/OT9inMwtZGDGvMF3c+IW1TgDS1toboq3XLKmrGKRjnX4gGtZnEGpwRub7UtdM7hVoFkLYdqcN7hakd1FddVnp4Ftute2+rmyxPHxF08srOOoTNses/QDwxdh1MUSWeBU1Znc05vgJQYIbcEr5MOsx1AJ/cG0xzSaqXk2NzhC77B4VUMjoozgS44VoNnGCxdpyitce6dz0tjifzVovxmnN+7Bfwuo+jdH9+cV0Po2K42WAsxz0hpHy8V35hJuebm3AddBXZ73OGBm/lAnSaGzRUlGegcfhiowTU02oP16grQOMB+s8KfbdhuB+bpQJcr6TiSS6TOR23PndLbqlhs8JjQkWsg10yqmQ/8E3r/23w1veDTuy9Ih3vinNkWx3cffcgTPMnf4zaPebq+ZF0Mn063/O70Iz7NE0OFZ8WoVtYoMb9/VUgvb/TmjKJi6Wy0ZS2OUir9YUt3WdhwJM86K3tnMKWqw6M4xR7e4bwKpnUNrQiNbYoSHe3ELk9RE2AAxgU9EI1+fAgdpQhTjFSxDMHz/V/4Hk+u3vPmXK83+kI3naJxuld0zmEbXc8120fndbbKSZf/m96x7pvnrDfN8kPwjfDurRZPBWZnuS+GLhucC4TOkUpmLkec7TgbPC5YpmQ5jIk5VWLOzDExxsxudGzWic3QcbbuWNuB0Gl7u4QICaK3cjMDq7VxGytf23WKMZqlUfXPWQMlaxtI012Wklu7o8ZdQ79iuz1jNQz0XdBb0yy3pnYKYuvJ4eDdwnrXcPpdhtBSgN47Smnu7K11WlBdLWJttc8uzhnWK+YUWdz5cBZvHblELIZunAnXX+JefYE57Mk1czPt6ebIZI7QWcT3lJxwCapkvQXE4PtzpumI33ryamD79AM2jy65tHD3xaeIgY2pTAe1XLFOqW+rbiBTqDnra1M9AaGXzLr0PLfP+Y3z32IqI/v5gHdryn3kIb2gXnzI9oNvcbZ9xO3tPZ+HL3nYVupB29Djg7AZDY9mh7uBeF14NBm6IkxZYx6TQKxaTPkeXvyLHW6thITtUeM3jLO6Oq7apoqAa2qsBS6QNr/L6edQTT2h4qc9+QIxiFXDOa/0Tu8dh8PEPEe87+i6gWdPn9P74f2K89GjM4JXdNMHh+0gWMvgPSE4Dbw1leA7rHXEnLjbjyCWy3XP2eAxTv1nAxapevu4BqAUEfXyQfBW1J+27S0xnpQdU0N9h8ETnKMPgTFWjpNw5MicKnMp5INGos85c5ZgsxZWfQNkLDQ4jZOLn7h2cy5WJ7W9GU5vWjHtjwk5RY6HPZvNlhB6VOP59gYLoWO93jIMKz2osC2+sH2MNSxH7YLaflNC9k0631v+rdLvSl5kY9JABj0Usw4/rPues/UAVTM+uq4jV43KELH0d6/YvP4KF0fyOFLGSfcUU+b1/QPnpcPaXgUEc2xuENoKYy2CozqnN8o8YeeJOkfYrgnDGtLMbrejcz1zOmqYVfORMtLMOOpyGKqdjIhRNLsKHWs677DWMQ8W/8EneN/j+zOIhf3xFQ9u5CxccDMdqPdw4TzPfU8/GdIhE6MeDKYIXhaTaj3Qlp0ks5CSU5yhLT7ItDwWOQVjFaltHfL1PeRp7dV6Is3WWZ4jNZoTEWXTeb28hkE9oXJaPmdhu91yfnXJe3sI/eCjC5V1OY1acMFCo03ZhgLWnAkhYGxgTI4cE3M1nK06zrcdRZeKmFr1Bsht9wNIe/OcsfTWsZk7dkOPTx22JJJYohQq5bTI76yCLX2X8aFnvy/Mc6HkylSV5B1jJqYVebWiH3zbNTYbiebuLm2PaOQdO0PleUCjFxaqFnPJzIc9c0z0g+BR1HhRmrxVkDicV4GAUFRN0sJ4KwHj3rasyyy5ZKm8W5Tf/LmzVgEYKby16tR/vXdIEVarDUO/ZhwnSi16gJTWqdy8ZH39gs16hTGV430lW6FK5vvDwH+sidv9HRjHgMPVpMJ2Y7HOY5yjpgimEMeZ9bpnvLuFYPGdR9JMmiZcNUyzkjbqbMF0iBM26y3jw4POw1YVSyJC5wMUIeeiJmLoGqz3HX7VawlUIc4H+mp5eh8ZxsgP6pZNN3BWHBwz4zxRo0GywWSwpb3GC6q+YBlF0fkileZ41Ijq9S17AN0qJLscmApeVqMA32JOoq4kXkGhSouEFO0kjRqsO2foOkvwjsN+IufayDeeSOTs/IL0vu57H14MOOcVcLEGnFpRCBVfdB5LVj1gve+oxjL0jjQJYHFWTZylVsRaclVBtDIkLF6EjF5ovnnDeCzeW6o15BwQIiesRvR88tbiuoB30FnYHSPHY6JUNZYaJ9G2OFe2ZcWmBFZ9j10IDCZTqORqGlKrsXC1EeGR3OwLVU1QqaRpIk0jeb1uUfHu1DLreoMmifMY5/UNrzNSrHLFvlF4Sxv77s+XH1+fTb9+s4p83Q5Fu5GM94HVesPt7QPTPLPdnlGrJT684eKrzxmoHG++ZLp/ye71F5gkrK4e0RfLrz9+xs1xTxwf1B+oDvreWQtOSdsYEJtwnTDtJ8x4YHq4ZfrqJbYk4rijxExJSQ+2mqlVPWjHXClJedjFtuBjj+ppsy6mcin6xAPtWm0HpWOumh79i3xEb5+R+gPH8Y7dfOAYE2VM5CiUXMlVyLVZlgJvYYWm7GkkAKNH7ykt3TTRRG2cbGOszqBtP7kUajHmVKg119MzQFutVaMApfOWfgj0fcd41E2BiGGRY5c+8fEHH33tUPi5itN3AedCu1HeRRBVSHzCNEUhY4sQgoUpkxZGi1Nanj7rDfSw2lI4pz41pVYkR2JSEbFxvi3smz1mLS3ns30NKCLYewergEE5v4fYAIJqydlyGAslz8xJOE8QvKUgzBVSbgXQ3AUWpO30dTZEVhfOHtv1bU+YKUWLQdobLbR9rjEqE7NK6yvSsRiF8Q3ywbu35bu//s0iXeiGbyVl8K7r+zLXOu/Ynm2Z5pn7+x2PLh/jvWd92OPHmTGNTHXmcNzT92eYkMn7HVEcYXPGFVvyNDPPDxznA6bvwAa96aylUhCf6Ta9nl+l0sUj8901DkupUSPUrYJp1VSEpO+tCRjf4Vwgx5Fc9XlyYsgpKmFE2iwtyo4SI5BUlnAsiVhnXI4QI3k6MM9H8jyT50SKQs4aVFSr7hazaaququs8vUn52kFfl1mRFjLUbsbaCCs0ccGSJEfj1Ap6E58a3uaGYRsjyFqh6yx93zFNiTgXVMDUApW98Cu/+asE7762jvv5itMqcVtnJQtkLHL6RkFOdvg0ypuzYCQx5UiuvXrnNXzZNvaEFDmdGMtLo3YnqnTpbMU2viriEFzrK1p4reicqGxYx9D1GOnBJ3ZTZI4Vo+5dHGKkjomVT/TB4zqDs0FXIjqAtvbHYqWSeUtlr8v3ZTzr83NWmzUAOSe8D9TqdemsV7rK6hqvVivQN6Nt3Zm9u8N8F5395t7z3ZXK27VJBsrJNaE0kof1qkxBDOfbLd5bbu5u+PjDj+jWPdOLz8l5hB72X95z3l9QgyPnCD5RDnvy/ojrB2zf09uErZUpHpjFMi9hTNXA2pBYMXivsECOGDQCT5xV8zZBWTROiSZFMjiwvmMejxjJqlzCMOf28Q39TDkuJvuq340ZpJLTkVAnJEfyNDJPR/I0UuZMjpGUILWAZSp6kIiGUtXmAllEC2tRiqjeF70AFktLK7ov13AdshRVQKF786+Nn0uFtxvzLYGkEVi8I86FeWokjWYkboxweXnB1dUzHnZ7Ls/eM2WsSMFU186X1vHJcnpoWXlnce2bdCg66JCWeC30VknCOl+Jzp21Kte1eMRaCtoOdp0DN7dvxoC1pApTtnRlKXKPdQFxYExQryHnwAt9X5jDRDzMzFMi52aDX1SgHHLlzAY2g1erD2ntk5iWuaKkhSIaoKMzpWaLrjdbfOhPEPuSb7KQEpwzzY7lndWHQntvX79vFOc31yfv3qbvkt5zzsQYKaWcbk9pViUiTewNnJ9tuXp0xsPDPcfxQLcJHErEmsz+0894HM6hDlRvsMOGXApdvyFPe4oUXN9jeo9NkVWyBGMJtTDNkel4ZNwlOiJ1GDBNJmWtvoY4S11QZmvAB72d4oRZe9hP1HikioYsG6tVWAVy08WW1t7nqnvqSkJN+Sfmwx1ld4cZK3GeSXFho0kbQSwJw+wrSRwF13jgVS3YWmYsDWRjmTUbMKWi6UrNglSNX1wiNGpDaa209n7Z9beifluv2jn2fY+IYxojy6NQq+A9rNYdORZefHXNzcM9Hz2f3684a2lRn7b5tRolHRRR5zpnNIvQGovDY4zQ+wFrJ+ZcKEk9epAlzxJmqezGymHKxFzou4GLi3O226d8YDUK4HB/0NsSx1QDsfZMZYV16qbXDQPG6y0c2sNMrYTgCA5WrrL3iWNMOFEygW1tk6sg6aD7KWnqAlG2yzJfqpJAcOhJ6oee1bDG20BiycvUNjt4T993zZRLTb1OfNp3CAjv7jJPb+Y7u0x9A78+hy5ZnkvURCoZZx3eKlCSmnevs4Hgddn99PEVP/vZVxz3R548eoz56ANe/v7v8LT2EGH2ggkrTBcgFZXtDYDRw9T4HmYIQRFJUzOus3SDx44TMVWiy1idZTAkFFnr9SAyRpFlNA4iHicKGrQkhwNzitjVgMVjEZIotdJYT6Y0dlYimxZRUdV7OJfKw3jATRBz4YgQvSWZnmotRSqlRJ1zjaUPwmbo8Z0nrD0lQcyWnApxPqi4Ak8qlSiaMmdFmDBkWxsWoSODRXfFxVTaq9Kw2WXfKQ0LsI2A4hmPx9O6TkFAHee6ruMwJ15/+Yo397fM8/H9irNIxRqhSEEwuKLtn2Rt90wjlVdp/b40wrsIhzHx+mbPOMcmvFZ1+CELX+4qb25H4pg5Xxc+5owPBm2dbFa3dOUSaWs79IHVKoDvWHcdm06j60rJ1CVg1gi4ymZV2TjDynt2UyFPzYC6eeTmlDDS4erQTtGGHhdtZYyYd6LZHDjParOh7/Xj+VqBmbbD8k0985bY/p8y7zr9yW8U6hKo++6vn9hERR8E327I0pwgFhi+1kyulvV6y0cffcKrV3ccx4M6JFxc8eLmmrU7h66jWwfd0dZlX2cptqP4ihXd2feXa8x8wJRKJwFfO3yM+OCZYlQBRI7krDen8w5jErgmLrQe5oRFudglRaBS4kSaIz50lDwjWV3mrfNYk4hUjOuoNUGsCtoVPYCKC6RuzSEesOcOv92qBjBlXDX0neFiuKAbeqwExLwVRcSUSKFihgHJwnT0FOsRF4iHHcfjxJwtMRa6LKdRp1SozXPWIics4nRbmtpuT505vVev5mmMjVq+AH0VjM6gMRVSKjy8ueXLV684juP7Fecc3z5YS5tVK4wpUqohWI91MFf1fS21cIyF/RQ5pkKpiWOt2ODprKKYsc0Xc/UcpxEp9/QdTOMdxwSv7w6sVmt83xbtruAZ6ZoSxJkANWPqiGvIoEhRq5I2FwTrCL7HBTg6OI4atktrX63o7lVjFGg7yyXHsxWGLKCVpx82OK+rkBYmximugZY9ivnaTfhue/tNn9rl15ZfX1rab3oMvXMGKAxR9QBcnOiNMUgplJKwvkPEEcLA5dUlU5pIZWa4fMb3/8F/zs3/9O/wrY137TCoUvWGwlMtUIqCImcb3NojJeFLxVZDHEemOKkwI0Zq0DXXlDKUgqkZ2wUqDtdWy1IyMwVXKyXNpDQzj0e60IOxqot1HlNUuJ8p2ATU5pbPYjCnpl9XV4+Jqw25ZqQhvEU0nlKMUIzX7ytX0hzBBqp1GB8wJaruLLcMlPUaP2wIQV/zfs6MNjLN+jFJmlFAew4wi+qEBoVqq2tE9+eh04NzajPmMvLoe23pB+0sHo5HfOhJu4mXr6/ZHw/vV5xf7Q8NrfWnF6nUSioFgyX4vu0PT9RfCJ6zbsul0d2od47glSFB8xAacyEcHGZsKN/8wMyOw2SIY6HrepxUEH3wagFXO3AqOxNrMGVBLOXE/a2Abw55fRe49OAtYC3Hmqm5tha7w4hvI2E9QXgiup/U11Vf/ODV6EsLULDGKVItGlJkjdCHDm89LUaKdzDB04+l5V1aXN/8hd79/Xd//u6/hiYdc82c2rz1K5rThMTmo9tZVmHg6uKS+7sdh3Hi7OySD374n/H0o+/y4t/8G+LdnlVrypTQrb5NZSoUSdgO+tWg9MRscNVSi1XKo9NcTrOg01aJBvN4JKaCqyvd/Zl88rGtWEiZMhfSODPNMzmDMW0HbFTjQS0UyXhL4zFXipjWlRWNNTSWYj01FlJFrT6rtvsZQawixhWl5eUy66EDmm5nQus6MrYkNSwbj2oQ4Cy+c3TN2SAYS8qa8J0RTa9e1igsc6vT3ac3hNAzT/EdcsPblZcPakJwnJLO5rmQcuHLV6+5vb97v+L04bwRuPWBE1GEUIwu4b1pANBydVPVmQ+ad3/B2KJsoKqLJ2sKK6ui1955rGSmGAnOYHAqoJWGmdoGHrXdkWkuB7Uqgiuo4/jC+lnI3cu6JVjLtu+UkJ+FcYqU7FCnd5Sh1KDxU6si6gHTSCy4EOga86eKgKkNyJDmjWtw3rYVRyHGqA6Ezr/zSfXHu7cqQM75azfsXzeXvkuU9yF8rchdI4eU1hWUWilSGFYrchIO+yPmA0s3rJmN5/If/ENuf/RnpBdfUt7csF1tT21zcQIuE5xnPB7YbleE1QqZJtgfqClicsECXW8p1eM6T7cyjEPP/jgqcJRGrPeYoNklJRWESp0i02FmipEuZ5wRJM+Y4jC2g5LIUpWuWEs72iwlZ1ItxJwxRaVvMSWKeFLO5BI1x6dCdZZSKilmzXmphRoMjuawLnIyc54OR2KK5GkmzaXpjSul6ljTb3p88fiG/gvqy6ytgxagMQ2fwDOPsQG4i2WqafxyR86VVLMSE6qjVIHJ8dWLV7y8vn6/4jzrq+4tG8tHatKbqOkyF8xWqlBE7Uq64LEGjVCQouOzuMakUKMj3zxrxUDOwlQyg1PbEPBQVOluRQXYisZlkJlc1QPXvfMQ19bbKzH/LfJmq6pl1p2hbvRQmUflVVoxlNPtpIePVogO77UKYh226/GhU6X78vmNbXteaTuuxggS1wptIQx8negO2k5+01No+di/rpDfLc6ThxC6ZxQE1/VI8RoaVSuPPnjO1fNnfPrjT3n1+oZxnNlsB2rJpDnTffQ93ONn1M9/yvWf/AUr49UxvnfYlaFmIR+PxCrMdYYcqRlSjJScsMFiCEjV+YpcWG8c682KwzxxiBM3r26Y9xXXryhVD9p0HJl2O+Z5pltPBCdQoi7tO9EuSQSPRq1JKyTJSW/FWplzJKPG5jWpCD7nrMlxIoj35FrIOVKS0hZLEozJGGco4hDT0ucAKx05L4HJsIA/1qiNTu8cpMpsMrmteGorUGcsWHf6Gpc2d8lOMdaqcqcUUhHE6+VilvJJwu31Ay9u37xfcebDHWEVMJ4W41d0fyUCZNS53YEpKkjFYUWX8MYpcLH4uS5WHcYIwanplnEG2mk3zephisgJPa2ip1UqrYBqRchkEwgWLG+F3GKb9KvkVjQKeVuroNV2rY33QSrzpGQFU3UvpuZVRveGpmrRmooYT9etThQ7aS2LJkTZ5nukKLb3rnnTLvPnX309l0OE05ssXyO5Lz9f2CgLwLQQDfR1bK4STZq1rFVSSqR5Ri4u2Gw32mrnyqsvXvDJJx9TUiGlRI6ZYXvBxW//L7j61V/mL/7p/xe/3xFT5KzbksdEmQ7Uoacfgh48RTBGfZNEVNtrrH4NfhMAR06Js75jlddcbi6oFr746hX3uyPzYWQ8Hpkf7ohT5ihf4TqPuIy1HmuPWGfBe5xPus8WwdqApEKWgpTEPM3kJKRxItZKqcIcZwSN/ZCsu9IqFSkGEQ1dLlVwoUNqbG4TQjZ6SEvO5Kx7fGMroJfEfEw4Z9XFo+31azs0GxuGJaDqdB4bRY291xszRu1olh2nq63VtRZDYX448OKr1+9XnPM0410lWLdEZbZJ30DVv7CaDEZ3Qva00VOCtq0KoDhjKU1K04mhN6qf64JnGwIBmGJkPiQKhkzjtUqbH2pVPZ1BXeKKrpMXSo9FvYOWAj093Fis0W/RGQiuwzuNEijKrESqhcZKWUTXOnvqPOabgda7KCyNumed8iaHoafrQrvtvp6L8rXZUQw1Z0UA/5qb8y2gtNykeij9tUBSqepNY0BKIl7f8+kf/il/cP9AXXt2L14Tv7hmWgU++dt/i6ffeo44g3FeFRo4+vPn/Pr/+f/El3/xxzz89Ke8/vM/53xYYwZHIKvTRPBYY1p0o6WKxoTVYnB9r2HJJePb53VYXOeJkvjOt79FrJnr19fcPNxx6w3HVzek8RZXBnAW66LKq0KH5ETwGh6FtVivHULJmZIicYqkVPXAzjqWzEVabGOlGG33U7M5BWlGWxZTk96yWTGGbNUETjEH5VLTNg4CrcWVFoNI0yPr618E3Xcve+rTXCT0nbpBxBjfjjFU3aVbTi4bVkDmxKuX73lzHnPFzlk9RYNKx7xVOZS0uawZRbZOzhGMLv6NCcqhFFE0DyViGzEE1AG+c46rbuDcB17uCjcPiVKqrl1KIpek1DBRQkSgNl1lojNB1zi1nFy2S61EQVOrZDnMaosx8MSoc56+IfrGLLOjCMo8Wm5HGrnfns4AjLHNjkPd/4y1WN/Rdb2ymah8o+a+VtQigvVu4ZU0nax5eyufCrQ9WCW3r+stccEuS3QEipI59l9d86f/9H/gR7/zP7ObJ/I8cT+N3DvtPLp//7t88N1PePKD73L+7Bnf/sVf5Jc232VY9aRkefrdX2V49CFme8bdH/4H+lKZAcFTUm63vSXVZanutcVLBUpWuluTFtIkU95o4QbX88GzD7l89ozjRx9y3I/sjntubm55c31PiglbLc5UqoM8Tjq3BY9NiZyyzp1JZ8taDGNOjDGRx0jKype1xpBMVufHqlkzYvTQVuaQApqpNuCyCrZANgo8OtELKBlphANzCvFashQE1y4DXauockXbVTGZzXpg6Fc87I+nMc+Zejro5Z3D1mJwufD65av3K86hD02BAoOxCqw0RsrSZrYu7dTGmVQxVhFPJ9KU9+XUxgH44uhFsKKDuLMqYjZUVQzkQp1nSskkAyn15AS5JmWGiGByZSYR00w2BrFOTzRjEdOoeTTxt23kbespzFSTTiSuSmluCMs3oS2LaQejaR5FdukIjMbQa36JPpBLQdv2ZC6gjW3aV9BZE2vUrb7Ni980+1p+LG/gAvwUTRsmdOG0U0M0Xj7PkZsf/5RX//Z3KTcH7vLI7f6OoxSOvcfMMxfjzM1hx2gz/f09U6589OwZjy8fISLESSiT4C4/of/WyPjlj5ESkZpx1lIq+BDIbf/nHORSMUWo8YjpV/TeUpMerr6zCpYherMahy3COqzpzzrW3YqnV0/5he8Lx3niq5cvuXvYUaUyTyPznLVNbaNSqYZxnpBSiXNiroW5GtJcyKL7c2tonj76HrrlNRQhlxmzrMraA2swjdbXzjmauN6giKo0h73Wwi4ElVOtWpVP6p0knG23PDq/4HhIOOtJUrFFudveNkcOAWsUya214qzl4dXD+xXnx5drHDpfdCLYqr2/PjwVqem0NDCNwY8NVONOfFL94NZmGIsuYSqh+fykkhEX6WzBL/TAmsixEnMkGcvtwbMZ1Kk7o7NqrUokTrYHo+nVxqio23i13XRG/XbUtUHIY+GA3pAKoLQ2tr6zk2z/ahtjGitKi9I002srFWcqxkKMqn3UgtP2V7M24V263lLwmHZjyru//25Lq3+n/hGdN1NMgErHXLDNlTDqA2UN/XZAbObu7pqX+chtHilU3AiBymUxhJSZxhEbIw+3d3z56edsQ0+Nkf3tDS8++4xXN3cYqVyun1LH14R5pHNgfeA4T6q2sYYUZ50HcyFNM12/JcaIZFX5G+favAclJkzoqDEpEo/Beqf6yVRYDxs++OAjnn8AqRRu727YH4+Mc2Kajjzc75iOE2nWWI6CYU6FKu5kg1pbBOFSpFUEUj4R20/R7vatA7vSMJuljls6P9NYP+09MIq1LKlgi0aXRutTa9cO5wPWBq5vj4wxMyZVR5UGZlaqZppalZItD5oxIMf3pO9tbGo+r7okLiKYZu8hbXLR+8Q1sEA/lsbvqcactvqqm/RUqzxU73U4Ls3m0pmO4CNd1qVynDXqvHeWLJ7iOny3YhUCoSn8Ta0Irfhsc/+pmeAghBYtJ3MzKFMWk1Tt9xfFux6GreUw2oroMstSjb556nukINHS7ppWiMg7ihJrGpVL1KL0G2uSr+k1TVNMwGktat/RdtZaTvS9UgopzWCEEDw+ONJsNZQnzmyeP+HR3//b/NEXnzLeHjSYtha6Urk0wlO7oXZr6lQpNw/sovB7+5mbn73g7/7wh3zn/An+ovA4XND1AdBcyzc/+Z8Z51s6NAXciGh7KxWmiTIdyYcDMlzRDUKMI9b01GNTlXhLSgVPJaXY7GE0IR3rdPVTC0bheJypXJydcXZ2oVkqLebwOO447Hbc39wxjjPTXDlkIWV9P8rC5mkZOFbHSJ0jEYyop5UY5fQWUdGEvg/NkcMIvigwVGslm6JYimlhWE0qaY0ldB2VgnUWawcO+0kvkiqn5HZvVOtZrSqhitEOzBlDsI5+6PBDx7Bdv19x1tL2TY0QIM2WEesxVmlgUpXaZ0SzQmCR3jR2hQEag0OMGjM7Y3DakBMTFGMw3hL6gC1LnoTyYQ3C4A1XneViAGtmnUmyKuwRjUBwqKlUZmmpA645/ZVa1Hw6NZmQtVoQDj14clUFvIFKi5pHWxARzX/RkNyGiBml2qnjQFBXiKCZo5x2lX8N06f9OAFMVlrqdQMhltuzvfZ5npjGkeM4MyXVBPZ+gJK5e3PDzevX7O4eEKmsPvyYX/oHf5/5P/wB5cuvmOfCbC07Y3jTd3xcLeF25j4Z0jFzt4/s1xuebK9YhR5vHUO3wjklJVjf8Su//Y94/bM/4frFfySNR0woCgQaR6m6f5xzxdXCvDsiJWKdYKO2hLbT+MSUIqXo7Z9jUuS/RXKUUloHU5v9iwIn1IqTyma1IgTH9uycy0ePOBwP7I8j837iOE4cx5lxKiQgiEZUJlFmn44rhmLz21UYKNJKaTY5rc1ss7xD9+oVcxrf1N1UC8sHw3rl6YcLrm/37G735MYb17ddk+xsrwbjpvP0XUfoe9argc1mYLNas12tWXuv65r3Kc6TagLT1gdVT/tasV6X70Vym9VaorXVa9ycbqVldhOqRGxR+lhX1by5NETWGBVRe6PeL3qi6eqklhGKx6QWkJsq3jqkebg4G9Tlz4recLjGiVCyBMaSq0BxmqXSAA4xckKglRiibgaKphmqVddAEWm/L9iTS6DDup5hNRA6325MFZ8tbeqy/niXlresSmwrYGcqsRRS1CW2c44SI3dvrnm4u2d//8DucOSYMqthzfPHT/BWiMeR6XBgPo44a3l89pjv/Rf/iN/8zb/Lv/gf/wf+4Pd+j/k4cbY5J/Yb9sYTvKOGDrEBRDgcDhyPI8FqyluVguQWle46RALf+cFvY7qBn/3Fv8dNd+A9yRgkJnJKzBWitUhGxcc1Y1LBhYB3AXJtdiptHXGiS2aMddSUlIZXdL0hDXCrSTW8xgWQoret84RhzbZfs9pkusOB9TRxnCNZLMfDgekQsVlRXqo2buW0ejann+t7pf9j5S16npbb1iwqKEUmFlLJsNmw2Z4z9OdcP8wkk3BDwK86VusV62Fg6HpWw8Cq09tx5QLBqnpLsQJIh5nbrIX9XsVZrLSwH8CoLMuW2q77+nZXJw4xhcrMwl9l2R2iMwGLX4/JGHE4U7BG9ZMittkTVi2wXKnNe6gKpFxIs1KxbDMzVusSr8nVrR011pNLQ29rwWTBOgVjyuwpxeCMU4TOtFQx1IMW22Y61+YOoyLkLqz1DaZgxIN9+2IOvefRxSVDP+ht125ANRE2YPTgsaKHW86JNGeWIy/NEw+3N+zu1G/Wiic4T+cdg7E8tT2mOj777EuqGJ5++BHbKXN5cUn/5BHz+cztwy3OGDbdiu3ZGd/51ve4OL/Ch56XP/lU10GbNf78nMMckSq6Uuo7YilMaeIqXDCsVo1alxUvcEoyyBnC5gPm9Xf44sUdT1eZzkSqRNK8Z5wEd/+A5BEpSd+fWuiDpZsniAXJI8kKxrvTeIHJWCvkpDvynPNbQMfAXJRfi53166m6DpHUVhQihK7T17Yb6DbnxPGgB85h5P5+zzELVEutGVeFgiObhRLJ6eIRu/y/AjemfR1iNWNVA5OFs/NzLi6ekGKh6zy/+MPvI94x+E79k63GyDtj1KEiCyllxv0D1+NEipFUFRgM3tJ7fa/fqzjDYrEIJ06h8V5tG0Q9XXVWa0vyJnZFpMHGy2LUqLmuMSCeYA0hQHCWKJ5CoWu7T2MW8alpPFbIqVIz2v44oRpHFqMm1lXb4OqWl9XoqSxCtU6tOrJhTpaKw3qVW7EAs7QTzSyaSoMxjn44Y/v4OZvteVNdKIHC0EJyrWEYejabje6+ip6ub29ZnfirVEou7O/vefPqJXXM9H2vCHApmFS5kp7HqxVD19MPPd4GTIGUInmqDDZwf7eHy4qJQpkyzvdYDJ1Rzi9eZ6FhWPPB84/55V/+W1AM+92BYixXj5/xy08fs98feNjtic0ND6uzbhd6+q5XYEuKJsgZAyjeINZxUwc++9krzrrClZ943EecWOK4I88H1Sy6nlwr9CsiEx7biOyCLRmqdjopF2XmlEqsWYXWbZyY4oyyTDw568fUmpnnA0WMFnGM1GpIcyIZg88RYiEYDZPqu4Dr1Zis7A7Etj6z0pRVJ6JKAwHf+W9tek3lpxW6rmO7vWA1nJPmtmIqhmebC6CSSyROM8c5ElOmxMScZ10dIninLhwbr4bcofP0IRC6QAjh/YpzYeM34FLRSJF24+h3YmhFY94uBBfA6ESNMwLS5lGbSdlgkwIrUeBhyiQSYzLUYk5Ib3s2yCJEo67unXFNZ7ggcA1PUczm9GekvdpSDSVCzRaq3rLL6Wydw1WLMRkRFUtjBOs8YRjoB/UL0oKlFWi794xpQUX6Etai7KSc8kmxkmMixwSpkI5HGCeu+g0Xqwu8VUpjzoU4ZyyG1dDjfSDFxJwSRmC7XvP00SNub+74sx/9OeM08rd++MPT1+O8VQJG61aMM6y2K54/ecrrx4/xpmM/Jx4ednz8wYf82g++TUqROc2st1uuzi/xzjN0HXm1UprcPGHEEOeZWAs1HvnOo8B3/t73yccnxOOROo90Enlze88uF6wPTHEm54lsLFkMpkIiqRNf1rkd6xr9Q2l4BUNKQoyKSYBQq8EHzzhHNaM2jpxmxnnGVE/MEUSIuRm1WUM87pnHozK/jMOigUWxFCWxWyWlmCrtb1+O8neeFR2IlrsB6y3bzYaLs0dYsyKWExObPCceHh54OO7J89i6SbWL6oxhvQp4p3EhXXCEzhN8T+h6bB/ohp7Q93R9/57FaQqgC3fbnJIWsrksXi+1cWutDsVZlHZXU9tBVchicd3Aul+pXKxMHLNS6FIt3KXM0WTmLNTqVHZkLLZaMqUZNunTt9AFlbUhSpZuOyTjFO62jfEhorK342TJRXE9qYIt0mZKQwiCSE9BTmymiiadzceZnJpekZbuHbqmKAkc7vfcvrkjjWqfEceR6TBzeDjQD4Hz1Zp1P/D4/JLzxx8yTxOHw4SrmumSUiGnRJwmvA2wHk6kh1rUGM3ZwPbsjM16zf31HZ99/jlPHj1mvV5hjNEE7Sp0TeWiE4hnvV1zfn7BtI9sjWcfRz797At63/Phs6c8e/yYq8tHrNdnmOAZVj05RyWDl4xIRtJrNnJgbY887rOaMHcDsWi2ZZwrT8OGIe/ZzRFjLKOp9H2PSYUssWENui90IbRd5UhpBINYC2VWNUk2ytUu1jLep6Y2gVojJWViArEZi2WeEyKWOSViiRiv+axFKjlH3ZUvTKoquNrsZFCIRNUqCxW17UVRgoIzQt+tObu4YLu6wElQ3q91SiVEhe4G4VEPEgxd6NQQ3Tl9PvoVru/xXU/XrfBdRz8M9P2A73pCCATnWrr1exTnPAtQqGKaq9niX1Objq6JmOHELcWJ7pOC18G/FHI1uLAiDFt8Z+g7j8TKJhfuDsI6DFz1gZQyX+4gjQZEF7xiDbkti0vjMRjaPtPY5gywrP/BWv2WihRyMsyTIUV0VdEW+qXKqdhpO61gFjKB3oqmCuk4UV2iBgcFxqLWIDQ95e76mnh9xwePHnN5tmXdB/pqOd4eWF1c8PzpJf0wsFltVeF/yMTdiBfDsB6w1oFoFo0Rq250ohb+tiGGUouqT4J69j6MI3/6oz9nsxq4enxBLTrLBmuRIkjWWXroB1abDba7o8PSS2GcJn724gWbzZbz80uM8UiqmA6MC+qI6ANrv6fngU0HMk1qqD0nymEmHo+kcSaliRijOh2ME/4wYqdRKYrbwrQV9QEyTR5hHSmpxWmOE3GeybEomT0XMI6M0aKyhhIzaY4U56iih3Mq0ro1Q5wKKSdijaScAN2516AsnirqpKBRIO3rkLZuM5xASAG8QHVKPfTOEXrH02cfY02AqiHNet8qqq/rNu0Mr55c4oPBdQNd1+O7gdAPdCHguh7nPSH0WK++y841MBJp1MT3BITus1HreQNRCikKNaXGc9XbRGVLgVXvCKEZfLXB2OD1hUKU5ub12q9hQGxhs5oJHXgJXKwGpr7QTRNmnJs9BY2uJieTptKKtiL4Iid9KRTEKsA0RWEWxW5MsiBexbhV2m7t5AfYVkXL6qMo8GOsAggxIs6rj6pXvug8ZWqZGz0sIvvI1dOBb189pxt65nlk9+aeaT+RjplhUGlbyonD8cBxv8cYIQwqsK5FneTnnJnngO82bbYV9VlKEckaVVhqwWN48/o1f/qTH/Fr/S+xWQ+EoA55gqLpBsMwrFmt14S+o5bE0A3EmpjnI28ebnj25Ak5FVJM+N6rE2Lo6O0RLzecna/VX3UqyHwg7g9MxyPz8UAaZ3KOzPNImiJlKqRUiVNSCdbNLeI9Zr2B9Zrad9B7imRs15MOMyknKpUUI3FOZLX3JaMEkTxFYhToXHuAG4OnGnLOTCliOm1CYypUyYSux6CHeW27S11BNwR6gXuMUcGhNKeDttYz1tEFx9n2Gb6uMM6S39ltC7Zlo2hHWIzj7Pm3eHR5ge3U2K3zAesdwWtbWy34ZnBXGjzQ9ma6ownvWZxn52dKvTI6QyrvNZ1obsZKG5q1t9bkK+3nT2G0jUiOFDVryqLzaSl0bd8ZY6VUS2cNKy84UygSEKvzZ8pwdyh0NvNgMylnYqkYgq4eGj3qRLVq92hfLQMG7/TNXfR86v+7TA+cZh2lOFdEMtSmxC+J2hX1ydVBhCTSkr50RTPNM+NxxgR1vl+vBu6nHSVGZZWItq8iunSfpplVWuO9KndKKbo3jDMlBfphwPWeXCrTMTLN84lZGKwlFfjixQseX17wS9//Pv0pB1Q1p9bpw7EaNFjpOKuVhwNqytze3vGwe9CYwujx0TOsBnrXMcdbLBkfBg67B372F39IfP2CMk44N4DvKXMhjirZmqeJmDMxVTKWagOSDXmMyOGW6neErRp8p9UZz88ueXH3ObfX1/R+QES43+2IaJByLKowidPMOEWS1dkxI3gbKLkSc2qosyGEjixzk/FpxyNSybWSszJ0MoYsrRNZBk10Vu2tR8cldWZYby/o+7XSL0UIIShpwTlonk0NOqJUYViv+eCjDzGN9WRoXOm26y9Gdc84Xct5WRhCuk5bTKp/7uIcrJwyKw1QrVB9WwqK7opolz7VtIt/AU3eWoFU0bjAakwj5Ch5wYnHYklFDX69VFwQQmdxIjgr9EZbgbE67pLDGTiOibnApjdc9gPDEBisttS6Q1Rifj5UTNaWHBJyEkm7t4t/UE8StP2SZiRdcsb4HoOS5bNXU2SxVlFoASmF3bTjq5s3rLoVz/uOoVOjLWMhxRlyphSrRIbGDc8p6o3lHTY4TLDY5LRFnStD7/Sh84UFfVsofRghWEecEp998SUfPHvGaljhjFOyR5v5vfds12v6vuPgDbYYXPVILczjzN3DA9vNmvV60PYqJcp4ZNq/xNbCj/7sD7l98yX14Ybj/WsON7eswgrMgB/OyaWS03JQZhIgroNVoPaGGhNlHik5ku531IcD5x+sCGnF3/n1/5LV1Zrd8Y4//sPf4/b+HopwzLNqR0tlKjOpCFNVuifNiUHtUzUpoMbMNBeVfDnBpIKpzT0hQW6a29yoehhafILyxA36fFcRcs0M64HN+WMkqj7WiCYaLGCRsQbvQttSFEoulJLph07VO8190TevYm+sztrtvwpyLkuc9r6+XYj8fMVZ0oTmGbdP1tDbphtTSl8VMhlPIwq3ZXxrzNtJlllySWxbpyiyVei9w3SW4h2dhfMuYLfQucCmsxinLU+3CqxWA9W06SLCo8szPjhbs/aC1FlJEDhsLcypcl+kGRQr46igZPEqBTGGXFGASZZdbDt3JFNywntFClMu9LWhjaKJU4WqO6zjkVf1mt53nF2e0XVbnPf0Q6cP75zoO6+ZpMHh+0COlTQmul7R2aEbmFGLi1zUtdy5QOgLxussYDuD9UAxeKfUt+vbOz7/6iXb7YazoOR+0wybvdOdad8FnPdIbmwoLDknXt9cc3l+ztV5Ic4RFwI5PnB9+5r5+Ird/Q33129wU2RV4fz8CXOEOEXq+Aa32lC9IyWlYFZjtZU12kVJX6mrDjeNpJShCjdffcb9zWtuPvsLnn/3N/mlX/4tXsiP8Z98C+k9Eiz73QN39wcKa6bjxP4Q1ZKkCQZonVi1lpL1/f3/t3cmP3Jl2Xn/3ekNEZGRTA7FLqllWTIgwzIg24CnnTdeeOe9/0qvvTakjQ17IdnqbnWru4auiWQyY3jDHc714twXLAFuyaqNe8EHEAWClZmREXc45zvfUEQVT9tYT4xSQLWCa+8Lgts2wyYLbDYrpgnmj8fndN0dU5wxpajnLQJ0+M2SpPWpIlbnlqlwGEe6cWzI/jaS2Q5Tc9sypq3/jdqw0Qt/0ObU27+w8V7Uxl4tPqT1RdTSZopB/94oIFUnyo00XDWKzhrE0uafGmb0cOzp3cjBCfF6hhoZvGcfLHcegmn6PLMqJF4doZ2e3sIQDIMTUlTurwJYQsqVktswuR1WVb7HbZU2gJYtzVpf+nbzVBNbJopTFLAUnbuaRtWqRrM3SuEaZ95fLywpgbF0fU/oOlLJzMuMG4NuTqcRgZIjcZnplkC/H7F9h2+MplJ00/fWEbxnHAYOuzvudvdMp4WYF4JRMC7mwpe//prXL16xG3YqoaO0E95zOBw53j/nfJm4xpPKlJrcbZlnTucTl+MR33lcdLx79y3ffPcFTiKXpzN707Mb7okt5kBdThOSVuKawBZKt0kDbQtTbvmhrsPWQBoDZI0uqPOM1MxpvXD+yZ/x1z/7M4ok7P1znj18SiBx3+/43RcNVDQwTwvn84nL+cRymUlLIhVhLZVUK9FUFgNLuzFL0QpoU5VsYxMlrjRN5SahompAOpXj/TN24wPLdWLLky1FVVfWbZupmQbQHORLZVoWQuc57EfdeK1yU0LRxsHmA6VVV90Hc/D/izPj/9PmrEU/6A9KayWOCxvBm5tjnZd8c0iXis6lZmGOBe8Mz3Ydfe8VRVObX0bTs3dKYZOUOc0rp6vOCSVHss10TSIVTFSrCRxIJhdVwUsd1BrfOSiZKpCLI6X0vdN0I0Wb2+s11ekH1wbTpTaxNc2iBJU/GafKhDUlTAAtzPUN1/xKR6Yyp8yypoZMeqxTLeSyrPQxYntVdNjgsJ0lrpl1XvBDB7TvZXTuuS6Lon3OMQ4aY995NUVOTdHinaPUytPTmc+/+DXPj8/Y33dURHNOfKdJ4LuBcdxxOV8xRm1jqlXSxDQvTMvKsKz0447x+WvCwyf84r/9V358fKDzA4t4xKsTosRErY5aNFo9l6RUuxZkFWjIpzEU5yjVQTAgleAC9dqpY2KjUGYnmKg3eokTkhfNQpWKHzqKLdhx5K7v2N0fWS4X1vOF6/nMGjMxqch6VwwrQpRKMhDrhvALYpUYb9rFYthURlrJORH6vuPZ/TNtEJuT4yYF3JwWDaKhTo2sQtWDaFoWjKkcdmND2XWkZZ2ukyqbPWpU54SKos/GND+4H3hz1riohYAPSHVN8qR4UG1NtTa1oJP/7UdVcjU8zpG3jyu7ocXDB2VsYCrVgqeAzKxNSDutiRQTUi2LmrwgvhK8YCUhucN6c4Oy5zkzr4UheEX6Wt+bm8xnO5Rqc1Qr9QOcbpBGuLZqbNzeo9JuLyMrIUe6focTnTsWKzpHtU27abQONnhKWYl5RqQQnGMMgbWdjnnNDMETfIcfLCWKGifHRFkjfvDQW2pSNpE0FY1xDuc9w9DT9ztCN7AskZpyc9e3xLjy9ddf8zuf/IhxHLAmUJzgnaMPA8fdkcPxPe/PnepDi44DkMr1cuXpdOKw25GmC8fjC/7lv/iP/Nt/9R/40//yn5nefEs1rvXZIMbp++wy1XpqymQLWEffj1ifW1ugB12xHleCqlpqxewMpSHPKqOqiHfYzpHilbKuiBTl3MaCCQbnaSOznp3v6Y/P2ZXI5Xxmmq/Mpyt1TUr5TIUcMxQtPQv6mkvD98W012EaNdRYcI5PfvSacXjGOuXmLVSpzupYhzYzR+107Pec/QXIKePHnuPhiGkZObrmmgrJbD/PbK9I10y1baaff+DmtI5qNFFLL3PtWazZhhCm9ZbK/t90m9ZA5yx3e+0t+2AZBqXOiWnzp1oxkpAEZVW6mK/C6FDxNIbqBuXAmty0ezpeKEYl0teYOC2J/RjoQ9BbQRJbcrU0b4ltpqljEz6Q2aseKtVo7yKim1MH14m0zDAeNQIPRXqD8eqfUw2IEiWsaPjquqoDQxcG8pCRUpGieR419djeI6Hie4/PHimV5bowmp2is7YdbUWQlLBOwYsQOsZdxzh2XK+W1A5FbywJeH8+86svP+f583uO7g7n9QC03jHsdux2O8bdSFqS2kXWiuTE+Xrh8emJ++MdXd/TLVET3rjnX//7/8RXn/0Ff/2T/87120fd2KLwf20BUxVIeaXf39GNI8ZGaH64egiqLDDViq1NSug8kgypaF6K8yOVQkyKS9SGnhrJmOIpSc2z7EZuEU0wC7sdu7HHjzv6UlnWiJtWOF/Jy0rOApvjulEEWGfaoGMzLVfvj3fswnPy0kAfLZ2a2yJY0VLWGf3M1UGl+QwjpDUxTYp32KYwqbWRXGSzzdF0O6WiN/pg1ZHM37YF//bN6XsMvikxsuradDlz8+5osq3clCjm9gIchyEw+mZnX2FdNVovFZ05XmvhmixSHDuT6UgQgOBx3cAw9Ji84OJCLpEcM+J1VTjryKWwJqjG490HXeVmDKYza2mb0TRpqaKxVTbLfdt+DS3Zq7SNijJZcpzpuz3bnC0Z0YiHm7mTbuosmes8EWPEDwNYwyqFKgm7WpwP9GGHcS2G3anPTJkTxsHY3Snvt2oMoohQUsYGxziMHO8OvB0HvHekds1bawnOkmPi86++4tUnr/jDocd1AePAdoH9OPJsf+T9/sT16YJx2mdLMWRbmNaF8/XKfhyZOs/o93QVqhh+7/f/hP2zT/n6i//NX/35/6AuC5LkQyS7cxivQJfzXgfsLlGSOhkggrONhNCsO7U7at63pW0CY8AFKonUMACTC6aIbmqjiee5GU2n3JzgTWkTA4t3Pd5Xul7oq3pblaTVUzFVWV/K62xCanUv+OT571GSpdbYgphU62mbhlNvO6PuGrc5jNL9vNNs1GWJ5OYs+f018f1xnX5erkU06Ex+I8H8oM25EXeN3TSWH67rTcCsmZjqsq3jzBa1VkSpWUXaRmnRtLfFD8n3XOxA7x37rqM7DASBLnTsdyNd70mLYz1n8jyRC+QaqKIjmGJgycISC721SNYg05xBsmlgldf5ZW0pzRQQ5W+Wqv5BVBrJoXm8mEothnWeuZyfsMeA7br2wVWoqjywZoN3PVUMp/PEZZrY7wecV5R7TYXVRoYx0VfBmoALHT50xEaUZppxfU+3H1TRUtpCLkZTxJynCwP9MGKDQ4w6uYHBGU9nK5frmV989kse7u4Y+gEfuhs/dOwH7g53nA5noGpP1lDOJa5M88K8REKIeK86WGv1Nex3D/zBH/0bPvn0H/Hn//NPefr2c9J5QbyioLvugA+durwbo/mX1uCkDfYlY0XBla3FKga1f1HFvcq7aGi6RX2JpGKNpyyxrezc8ACBoml0uWEPKWXSujJdJtZcSbneqiZjVAlFwxk2E7jDfs8nz38HEa9A0nbZSAXTLGWcaYR9rfTwDURsRGbnFOz6/K8+58evXvPJ69cKLlYN8qrtAKWJIbZIxyqqOy0pE+MPdEI4PU1awjTmSS5aLhaplCTqZtZc4MVsALFuZletqtFRH1DXmmwNI1KaVAkdVgIpW8QEut2AN47OwRga26JLlGBwiyPmylLXRiRwiAmcLjPvOgNrwBrl+6ZcG5SuIartqKHSZG6lBcuIgj+llbkbP1AzIj1VItPlCes79v5BUWar8J2ttzNUCQulMC0T5/OZly8edBFYLQOtVSG2ZMH6hl4Hj+96cl4VYUyCFZUplTZfUxPtCs7ShcDYOJl4Q1mLViQGTXqr8ObNG3755ZfcHY+4YHHBY7zDDz13hwOHw15J9WuiasNNnBfOlzP3d3cE7wk+0DUyBSIN5LCMuxf8k3/27/jsVz/hmy9+ynJ+Q3CCMzqTdS0K0FhPdpVcc2sbdF2YzXfKOqxxBKsLeF0jYHTI3261UkxrY5IuZFrobdU5YREhp0hOlZwr67oSY2JeI2s1RFRQkWiOFy2zk3YEDOOeF89+hLM9tdjbSEOojfKnY0JrvWbooLf7B6/kxviRQpXCL3/+K46HvbYP48iWDLeJ59UdMJNSJsakPkjrytr++4M2559//g5Dy7lH7S+NU9Mq5x0uWEI/0pnmbWMhOIMHvNFRhzVWYxmsgr4bg8I6SzSOr6LwzRkMjs7p4ghW2kwJhhBIweGcljo2o4ToqpvqKV/IKfLOO/quLUgpkAq22mZB0UYnrQfJRjdm2dQIzdBYSf1akkhT1axpwS9nxt2B6nq2vkV7UAUKTK1ISaxx5fF04neWhLWWw92eGJTNkmNS4rwPWOtxocOFBD5hcOSYKUshjF4Dh6u6DNbY3kdv6XcDu/3A41tY06oi83ZQDDiWeeVXX3zGq5cv6ftAMB3GOQ77A5IKp7sz07xynWZq1vAnSZnL5cLj6UmtPJoZcj/0eNfol6IMmiGMvPrRH5BN4PNf/ZR1eeRgI5RVkcdmsKymZJliaFGQllIN1nWNXWVZ55MSFJYIobvduKXocD/FpKOQRmYvNIS9ZFIzElvXTMzC2hz6YlWkthjXEHk1Fs+tjLbOMIwHnj98Suf3OjOuhtx8orTJVw65ZeuTTeshaa2caUoovbCkCMuy8rOf/pznL57x49/7MRRRYkbKpNgiFONKiYWYW8RIa1ti84f6e29OLbE11qAPjqEP7MaBcQgMXuP2nFUBM1aTmJzZZDj6PTYrRy1qteYXlEFRjacziVqzZllU8FiMqENCIuNMxlKwNen3Mo5ZYC0VZ7VnmdaVKYGfIHjH3jv2bTRB41eWys2rxlTtQbZSo4pKgSrmZl1Ra9JhdRGlqq0LvtPFG6yaNW1n6GYUXUR4ul6Z48LxsKfrBuKijoEURcpsCLgxgPNYH+h9QVIhpkSICR86bKfx7DEmgrGY4PAhsAsDuzCAgTVHeq8Hn/G+LSjh9HTiiy++4JP7Z4RelRK2M+yGgf0w0AVL6B0xAVUPummZuVyv9MPA0A+klOi6DjGtR7O2RRzCvttxPDxjePYpv/5yIcaV571RJplpfj45Q7UtZEn7+5wKpSHmKWs5l5aJZVmx3Q5xlqpxAi09TnvLFFMTTwi5WFKJpKKods7CWoRUGw4qNBxev15R40ZbxODDyIv71/R2oGZR4olpWpXaSqFmMCC54sL3WhekOSOo8knxCkXxRYTr04Wf/K+/JLU+OqWsPXLSGXlOsd2cUa1nrhPXy5Xz6fzDNuenD8p1lCzKg61go5LM6R0eT8A2hC99GKs0mFl1na28NKYR/SzGeqpxWNOpYbWZSCVBWhGvAuAilZKFwSr7yGOxRnCu0nl0PmkdYkVHGw04dqZg6NTrxm3IsMFQbpYVVTT4tUozrG7+pErtazK4VrqIVNa0Mq1X7kLXhs+lKQsUSBKzQeOqhVzXFXd3dzsARGqTvukHFegIwVNDQFwkFjWTqkUoMROsOrplvy0g027bwDAMuOAaAXv7o4N/W4VSM9+8+Y6379+zf3bEdYqYhs4zDiO7cc/pMuFdREpW4y5MY7sklnlmGUbdnC1/xrOND4TQGY67PQ+HO96OR774+sRpyrw+VHqz6oy7YQ2lilqPSFJ6oPXEtKrusxTSkpjnhHcZBIro4pdSSVH9idaYdHOXpL7DtbT2St/XVD/YW/7Nw1X/blBACes5Hl/i7EAR7X9dtSozrjRJpFpi0mwwRSreqAUNbV3XDeQxVrGLIpRUWJbM5z//jGE8cDjesS5RecfzopvwcuZ0OXHdRkCLxiHm9ANHKS/uBwU0okLdqWTKir5x0ZHGnr4P+BoJxoH1N6/PUh1SW4ZHG0wLyqxR60GlzJ9Sx5oWcpopedA63ioA0ztLEDBB+bU2Vjpn2VUddseakGKgCNaCDa6VVw4hNeRYCc15c9urjTjxPX+Z2kq3KlvkYZOPNVRSciTNC3XUmyTWVQOM1FZMP/zi8A7WmHh/ufBwf0+tpRGeld9ZYqZ0mZpEw4+8xfWeUNV/J5ZMXWeUJ93j/AAiGvFuHWHo6ceRw+GgvUpSRoxvmtbOWmr2XM8Tn33xBff39zwE294Xy26nqO/pfCGtkZT0FnCNDjhPE8FrBqe5XgkhMHQdhIrgqdXi/UjohfvjAy+fX3jz+J5v3p/47hx5cWe5D4UtHa4B+aQlIkatR9KaWOaFdYrE68JcCojH9z3WZkrNlFSIBUouTEmNo1PWZLGCwRTIbLEZ2p9+IMXphLOKa/amDu8sh2cv6PsdyJYU1+xtBCK1cZ/VnCuDVlyIWphIKwfJoEcVRoRU1Zc5Z8Vhnj57QzxdCYcdj5f3nC5nlnlimSZi4+O6Ruip1Nb2/eb993ekjO2oaDRckkSthmw81XjEe4ztKS0vpVaLFKN9XLGIVJakLA5ZF3UtbzdrqoAURBIzllMSDqaSUiHUD31q1zndPbmjWs3/VLGrQ1zFlHa/VdS2REpj+etsqUojTBmj9vdtVqo2SPbmJlil3sogRLUpt/6i3apxmYnLQj/uVDWRC11oh4xFS7icmOPC+XIhx6x9XwhEu5JybqGzmbxGOtPjXaCEgsmWzIfEsSKCLQUXPNUZHfRLxTfG0LP7e5Z1YTpd1WkBc/OucVRSjnz1zdd88uoVx/s7vPVY4+mDCt73u4FlnZFG1vDeY71jSRG7zOzXuSH0teEDTnWMbb43dj0P+yNP+zs671HxceDL95k3pjI4R2cSzqu9SGlMs5gLcVm4nK9Mk6Z7xaLUTC/qjp5LosRMRPvPKELM0vJfK9kq2pkN0CiDVEWJ6yYSoHG8EazrGJ695nB8hkvb9lVQrs0imhfWh62NadiD3TRWFlt1JNgGaEoWQZCqwg1TYT5fefz15+QAZ6vzdmfVJtaaijMVa9vPsBbX2sAftDnfTD0xJdVHRj3JpOrL86vQh0LoHa5zWBsw38tMKTmz5pU1FeIqrDmBCN4o71Gd+wvF9up1ahVds06ZNMF7VNtlEQKLWC4xKaDQDU0poJF0pTpEwGVRt25XKSY3jaNrw2sVn9hWyop6H9xGO2Wj+EltJeNGhdI+KMYr63oljAOuOr2tnWCcbcnflVrAiWdeFnIu7Pfj38zgRA+YVDJOgvqeeg9dO/VFUT2zrtRa6awaMNdGMXRG7RbHYWAcR9Y5kqaocznncGKwVvDVMk8r3373lt99/SM6p3kvwQf24579bs+8zpSaWeeId0HLbzR09nq5qrthm9t5729hvdZqkncXArtxx8PLF1znhenphMWSi/CYAplAZxd6mrIjJ+K0cLmcWJeZJenNkwuYacHEiPeq+USgGEWtc64qI2tjwVIaGcFYjPmQ8C1i1By66gVgrMOFjvv7V5jxDqkQnCPmiK16QyrBpjb3/sZ7NU2kVBRPsZsLnzUUrGqGa1aNchu9lJIZsIxFKEvCOMcw6Nc4azGlETAszcdWFTEK5v/AOedX33wLRvMSN1e20gymrXOIs+RoGDt3My3qegtWLQY9greV0AmDa3sNGr1Oe1FnClUisxhi9o2d0RZKTOQYSXNhXi1TVOvM6nR0I7mQsAgZX00DfQrYoGMP0b5xG3kUs/GajEYUCjeN5ya3yhVMbqCWbN6zYIowX6/0uzvCrr+pY0zV0shYh6k6s1vXlTWvVHPEe8/Q9Ww+viWrzMqlRBd6utCRatZZ26z/Vm4ufgY39BhvyQh4Q991HA9HljWzroUcizrciYJuzlqkaKr4V19/ycvnzwhDz/6wV5OpfuDZ3T1JMlItpZwoNYJYjAmsS+TkzjhnCamjVNU0mlqxzQrFBc/usOdFfs4/mD9luc581aiIZUO/Rbjmjkk6jBFcyKzhzBQM1QxkM7HGSKI0G8tMXVITsWsgbc4aaBVF3WVrI51rK1KwOKrXHMxg9aDT8ZKnH3b0/Q5rNBjJFl2vxjllYHEzMdXLBMUmLEat0g034b2pINXr2itq3YkItejYzuXKPqicMAj0BYwLZKfzXGM33yLdjLa5ORirRIYftDmXZW4i6nbr0JwOajtailCS0rO8QIeaYxnnbm5nHrUBNEHj5oWK5MqaCynqfNDgWEthyVnTs1tGyLpGrsvMOkVmnVxr4dE2Vsp6/1Wj5l+mahmCqNlSY1g32tRGoKAR4mmm2a2kFb05q0A15mZiZtvXl1qI60ReJsy41xFTUUTZ32ZwlVIsMUbWVePmrFOZ2GbrX6uaXZWUkewUvfWOWhypHUo5KytF4xdUG6o6WUvoNSxHb8CJZVpY01X723rT+mNKZZ5mvn37hh+9fs04DBjnsD4w9iO97+l9IARPSlnTx2pFJJFK4DxPhJwIfUdKCYuhd46cM64L9H3Ps/0dn9w/cHrxius88/a7N5pLaXVOKEV7Oc1LsfTjS17ef4oVYV7OLGlmiasypXKkotXOkjIJoQRlApmA5o0YdSvA2CYE6MBp5KQ1KmRwqKVMaTQ9RVd9A4yUvC6i461qRYEltsmEudnd1O0mpZEZ0FhBqYILDh86sp7Kup7TCvPKJa70JdD7ir3X9ss6S7UqpbMOlRT2nqH3DMMPdN8zWkc0uYs63onZ5nuG1GpxKVo2Vh0QEjqt6Y1oBiLNDMmIqI9PKbgipFgpYilWh8YxJ3JckW6gUFlndVyLUYCAdx22ri2QV9FXRHBoCYJvWj+jciGgHQgtiKYhbcr93H6P7w2gq24CJx9kR9I2naGSUmSaLuzu7nGhB9Gy23rtKzZpWUwr8zxRclbTa+804TjqUDqXgk0RF5WMgUH9d1uJU3IhSSQ6hysdXVDTqFIKxjm6YeBw2HOerjx1Z1a7UrJamDhMC3bS2+Dtu3d88+237PY7dvtds88cuNvtSXFlzisQlRRSRMGclFlZkFyYw0RvPHbU3JmSCx0oy8kHDvs7Ho73HPZ7Ht89kqLOjLWF0EqrotUSRTCp0LvAbvdAxz1dTKSUkVrYjYE/+eM/5p//8T/lPF/4ya9+wV/89Gd89+aN2m0KWBzBOqzv2qbUKPhcMrmu5Fxuh2Btt2GtFePUDdAYryWqZKx4xG+orl5Ascm+TFFtaC3KKKoNeZZa6Z2n73rN7EmJ6enE/O4t7umR3liuOeIeM2MYOLze09+NhCHQ1Yoxmb6xvoLvfvjNqRQ3pTXZdpuI0dpbSwEwueIQWDPVVsqsoxWzzTZsp1vk5qeJ3qjGEIIjSTPyypYlqsTKuYmYNY4+xtiiwA1YiyT9Js55nMkk1GXNoNC4aX+oNJm4ubmyqX5OWTcqfaMxUD6Ut4aNqnjj/7TwWKhVWKYr8zyz80GRN9HDafNUrKhzwrpGdSRoxIPiCsUo5VEVEoYSC9YVXO+xIdCPg2ZzTGqqtc0+rXN45xovN9D1O8ZYOO4PPO1OLMtMzpo54rabE6AIT6cTv/7mm0ZM6NtB4RlCz37cEWvhbK8qsct6SGUR8rJSvHB2F/quZxhGtbe0Vm99H+iGgd3+wP3dkVcPDzy+e8djys2J3+E8aiCd9VDGZJYm4+ts0DvN6WeQs8ZlvHv3hInw6e4TrvcTX9294XJemJb59n2N6zDWg+FWjVU1BMJhwLc+sjF4NFHd4arBetMc75tqyTYgCbRfNQpI1oYGqwwx45ylZsF2XtO/jVDnSH73jvzuDefLmVQTo7EMLuBKYX5cODzcsfcejzKuklim3Erw7G+u8n//zdlmPworgzGqzlAWJG0sob2aAUo1rMngqib7equn26YQ3zIqpWbdEUnLL4/SGedYmK8zVFhSuWUtfnATNZTiWtZGR3WQ82ZLUinFIdWwb9xNaSDP9uZvt6Y0Hq2SE7ZZCsooYsPz1L7C1OZP1P6/HCPrNNGPB1wXdHUUdYPAgJVNw9fm2s0x3FiLcVYXuNGfm1PGukRtMiTnPeI1qyNlpUUOfU+JUT1qgmuZoJYwdIz7kcNhzzTPXJdMjaXRtM1WiFFK5vHpPe/evWe/39OPQyurenZlR2qjALU31fcpN//dZVkoVdjtD/RxUV2mVxAl9M3eMQR2w46H4zP2d3vO84RMpVE6Nr9f/bjVZVDUkcFA5zo99L2GUpVS+Prtd3z+7df80Y//kCEM7HcjIXjcapvca5Msa99ojcWKQapWINZtdVBqfaVVWqTQiPIrprka1JqpxTeaJYr+VtP0v4riR0mYUrDe0/kBXwx1TcRp4vT4hvnxHX3JDNayVMejCH1OvPSBsBoev3giGQudZ9N1GaO+VsFHXOU3Pn8H8b3dIlalLVtCb3YGI6qgMO0XS0YJ7rZaTNasEiMJJ4Irjs4GrDMUCyVV8ppVMCtCco5SLJec+a6c2S2JSocN3LJJnJFmIKYNhbqrKe2rCkRXQQydqc3wSwGgYgRTBCOKulmhRZKnW7Bq3U7RRpqoTVFgb0VxI82LkFmJ81XBD9dhnS6a0sr6kKUZmeUWzw7WWVzQ07Q20j+t9M4pqy3nEJQZ1nlcFyhTJcXIPE9UZ3Go9YgxIM5BGNjvDtzt75iuM2laKFnpanWzwqiQU+H904mvvv6G5/fPcM4TgmPYjYiziHOUXIlLJLIC6viX1gjGcmfvqJJZrleKj/R9z8jILhcIQnCe/W7Hs+M9r16+4nS9ss5r8xAGXyxiCqYoUilUSk2sRV361Z8Yjdoolet15i9/8XNeP7xkNw68OL7ky/Et86SjH1cNXirFe5zZhiYFW0vblKbRTY0CdHUztawYo+nb6kkkJIoS9NtRoryOLXO2kiSyrldqKo3NtZKSw6yReLmS4oRr0Y9UOFjLtxRWU/Ep8eADw1m4vF1hKKyS1Gy8ZDXDFsHeEg7+npuzGMtWizZjeU3SQhXmtcHb25C2NsaESG43zRYuOuPNAmz2lpqRkXNRj5bBI35AivAuqgVF8AWPxVvfYG8ts9F9g8MQnFA6/cDEGVKst1ySatvmEqiiC0QnU0WV6NJOTzZRtgG2KIIAVcnOdUNkdXaDiGXJC1FWPANSQ4PU1YyrYFnTwtKYQl3f3fofGg1ui5bPOWumJIbgAzY4soXQBXzQyIKcCxIzNWXouobyWWywdF3Pbtyx241ch45pWm+xGa4R6C2GFBPfPr7l968X+rHH+h2h6zlYhzeGeZo0wMmoxWbnDXFR/up1mgidZ+5WOh+4qwdc12msXVXecugC+2Hkxf0z3j88Z7pOukGN0VGRqC1HaSZrznptmYpocpe1BLEsUhCBL77+mp999kv+8e//Q17eHdmNPe+s9tFi9EDxqCg6i1BqaYFa7QBuB1ObdFCV0KWfUdWKUAnpmvFhXKNyeo+1gWANKRTMXEnTyhpn1GxaF58pKhQfqmpqA5VQhZ3xRO94UzJPCKtEXtuO8HjhsoOL0dAvtTfS2effMub8O2LnW0lHcUiz9bBKnWkzO2mC0q28pc1B5Xb7UFc9yZuHCnUrPbS2t8610Bzt+eZU8A6cDYCjNI8i3fiGWhQMciER8CSjuSheLGIdXrQX1JOzMXyMA1FnNmqlmqzSpNoAXeqNDaQUMA1b2nSHNBTYtu+ZsqY+G9FTGxOoRkiS9UZMM+9O73k6PRGGXmddQHBeW4QqpNSiGmqD8H1Q0r/z1FAYhg5JmRwz0Ue6NdIPfbONMeDAecc4jhyPd0obvC7kWe04XTO1shiSCO8uJ87zxDEdcevKeNhTcfS+Y9cPDH3HmleWlMk5kiVREkzTgnWevosMfU/XdbcRhLT5oA+Bw/7Ay/sHrvPM6Xzmu/SG1JwbHeo+J5K/p/woSixw22tVPMOIWo3+5S9/wa7vuTvsefX8gfdPT5zytc2dlWMttdD8HNluCzFaUm+wwebYUat6Ldtq6LoeeqNKousZk1SP6kVv3GAqJS3k+cq6TMRaGg6ha3izny1UIpW+GrJ13JfKQ/DMVphrYRHDY1r5ke05JMviGwEHoKqtjzW/eQuaD2ZHH5+Pz8fnt+n5zY62H5+Pz8fn/+vzcXN+fD4+v6XPx8358fn4/JY+Hzfnx+fj81v6fNycH5+Pz2/p83Fzfnw+Pr+lz/8BxeLP7ySbCJMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "caption_image(r\"D:\\datasets\\COCO\\train\\train2014\\COCO_train2014_000000000370.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c7e1e229",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<sos> woman holding field laying hydrant phone to laying doorway <eos>\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "caption_image(r\"D:\\datasets\\COCO\\train\\train2014\\COCO_train2014_000000314700.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a5b89f57",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<sos> a s field of room of blue with large blue <eos>\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "caption_image(r\"D:\\datasets\\COCO\\train\\train2014\\COCO_train2014_000000452789.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "59aa4bd2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:tf-gpu-2.6]",
   "language": "python",
   "name": "conda-env-tf-gpu-2.6-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.9"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
